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BIBLIOGRAPHY

Abboud, S., Maidenbaum, S., Dehaene, S., and Amedi, A. (2015). A number-form area in the blind. Nature Communications, 6, 6026.

Adibpour, P., Dubois, J., and Dehaene-Lambertz, G. (2018). Right but not left hemispheric discrimination of faces in infancy. Nature Human Behaviour, 2 (1), 67–79.

Ahissar, M., and Hochstein, S. (1993). Attentional control of early perceptual learning. Proceedings of the National Academy of Sciences, 90 (12), 5718–5722.

Almas, A. N., Degnan, K. A., Radulescu, A., Nelson, C. A., Zeanah, C. H., and Fox, N. A. (2012). Effects of early intervention and the moderating effects of brain activity on institutionalized children’s social skills at age 8. Proceedings of the National Academy of Sciences, 109 Suppl 2, 17228–17231.

Amalric, M., and Dehaene, S. (2016). Origins of the brain networks for advanced mathematics in expert mathematicians. Proceedings of the National Academy of Sciences, 113 (18), 4909–4917.

Amalric, M., and Dehaene, S. (2017). Cortical circuits for mathematical knowledge: Evidence for a major subdivision within the brain’s semantic networks. Philosophical Transactions of the Royal Society B: Biological Sciences, 373 (1740), 20160515.

Amalric, M., Denghien, I., and Dehaene, S. (2017). On the role of visual experience in mathematical development: Evidence from blind mathematicians. Developmental Cognitive Neuroscience, 30, 314–323.

Amalric, M., Wang, L., Pica, P., Figueira, S., Sigman, M., and Dehaene, S. (2017). The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLOS Computational Biology, 13 (1), e1005273.

Amedi, A., Raz, N., Pianka, P., Malach, R., and Zohary, E. (2003). Early ‘visual’ cortex activation correlates with superior verbal memory performance in the blind. Nature Neuroscience, 6 (7), 758–766.

American Academy of Pediatrics. (2014). School start times for adolescents. Pediatrics, 134 (3), 642–649.

Amunts, K., Lenzen, M., Friederici, A. D., Schleicher, A., Morosan, P., Palomero-Gallagher, N., and Zilles, K. (2010). Broca’s region: Novel organizational principles and multiple receptor mapping. PLOS Biology, 8 (9), e1000489.

Amunts, K., and Zilles, K. (2015). Architectonic mapping of the human brain beyond Brodmann. Neuron, 88 (6), 1086–1107.

Anderson, R. C., Wilson, P. T., and Fielding, L. G. (1988). Growth in reading and how children spend their time outside of school. Reading Research Quarterly, 23 (3), 285–303.

Ansari, D., and Dhital, B. (2006). Age-related changes in the activation of the intraparietal sulcus during nonsymbolic magnitude processing: An event-related functional magnetic resonance imaging study. Journal of Cognitive Neuroscience, 18 (11), 1820–1828.

Antony, J. W., Gobel, E. W., O’Hare, J. K., Reber, P. J., and Paller, K. A. (2012). Cued memory reactivation during sleep influences skill learning. Nature Neuroscience, 15 (8), 1114–1116.

Arnould, L. (1900). Une âme en prison: Histoire de l’éducation d’une aveugle-sourde-muette de naissance. Paris: Oudin.

Arzi, A., Shedlesky, L., Ben-Shaul, M., Nasser, K., Oksenberg, A., Hairston, I. S., and Sobel, N. (2012). Humans can learn new information during sleep. Nature Neuroscience, 15 (10), 1460–1465.

Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11 (5), 181–185.

Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., and Jaeggi, S. M. (2015). Improving fluid intelligence with training on working memory: A meta-analysis. Psychonomic Bulletin and Review, 22 (2), 366–377.

Auble, P. M., and Franks, J. J. (1978). The effects of effort toward comprehension on recall. Memory and Cognition, 6 (1), 20–25.

Auble, P. M., Franks, J. J., and Soraci, S. A. (1979). Effort toward comprehension: Elaboration or “aha”? Memory and Cognition, 7 (6), 426–434.

Avior, G., Fishman, G., Leor, A., Sivan, Y., Kaysar, N., and Derowe, A. (2004). The effect of tonsillectomy and adenoidectomy on inattention and impulsivity as measured by the Test of Variables of Attention (TOVA) in children with obstructive sleep apnea syndrome. Otolaryngology, 131 (4), 367–371.

Bahdanau, D., Cho, K., and Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arxiv.org/abs/1409.0473.

Baillargeon, R., and DeVos, J. (1991). Object permanence in young infants: Further evidence. Child Development, 62 (6), 1227–1246.

Baillargeon, R., Needham, A., and DeVos, J. (1992). The development of young infants’ intuitions about support. Early Development and Parenting, 1 (2), 69–78.

Baldwin, D. A., Markman, E. M., Bill, B., Desjardins, R. N., Irwin, J. M., and Tidball, G.(1996). Infants’ reliance on a social criterion for establishing word-object relations. Child Development, 67 (6), 3135–3153.

Balsam, P. D., and Gallistel, C. R. (2009). Temporal maps and informativeness in associative learning. Trends in Neurosciences, 32 (2), 73–78.

Banino, A., Barry, C., Uria, B., Blundell, C., Lillicrap, T., Mirowski, P., ... Kumaran, D.(2018). Vector-based navigation using grid-like representations in artificial agents. Nature, 557 (7705), 429–433.

Bao, S., Chan, V. T., and Merzenich, M. M. (2001). Cortical remodelling induced by activity of ventral tegmental dopamine neurons. Nature, 412 (6842), 79–83.

Bavelier, D., Green, C. S., Han, D. H., Renshaw, P. F., Merzenich, M. M., and Gentile, D. A. (2011). Brains on video games. Nature Reviews Neuroscience, 12 (12), 763–768.

Beckers, T., Miller, R. R., De Houwer, J., and Urushihara, K. (2006). Reasoning rats: Forward blocking in Pavlovian animal conditioning is sensitive to constraints of causal inference. Journal of Experimental Psychology: General, 135 (1), 92–102.

Bedny, M. (2017). Evidence from blindness for a cognitively pluripotent cortex. Trends in Cognitive Sciences, 21 (9), 637–648.

Bedny, M., Pascual-Leone, A., Dodell-Feder, D., Fedorenko, E., and Saxe, R. (2011). Language processing in the occipital cortex of congenitally blind adults. Proceedings of the National Academy of Sciences, 108 (11), 4429–4434.

Behne, T., Carpenter, M., Call, J., and Tomasello, M. (2005). Unwilling versus unable: Infants’ understanding of intentional action. Developmental Psychology, 41 (2), 328–337.

Bekinschtein, T. A., Dehaene, S., Rohaut, B., Tadel, F., Cohen, L., and Naccache, L. (2009). Neural signature of the conscious processing of auditory regularities. Proceedings of the National Academy of Sciences, 106 (5), 1672–1677.

Belle, M., Godefroy, D., Couly, G., Malone, S. A., Collier, F., Giacobini, P., and Chédotal, A. (2017). Tridimensional visualization and analysis of early human development. Cell, 169 (1), 161–173.

Bendor, D., and Wilson, M. A. (2012). Biasing the content of hippocampal replay during sleep. Nature Neuroscience, 15 (10), 1439–1444.

Berens, A. E., and Nelson, C. A. (2015). The science of early adversity: Is there a role for large institutions in the care of vulnerable children? Lancet, 386 (9991), 388–398.

Bergman-Nutley, S., and Klingberg, T. (2014). Effect of working memory training on working memory, arithmetic and following instructions. Psychological Research, 78 (6), 869–877.

Berkes, P., Orbán, G., Lengyel, M., and Fiser, J. (2011). Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science, 331 (6013), 83–87.

Bermudez, P., Lerch, J. P., Evans, A. C., and Zatorre, R. J. (2009). Neuroanatomical correlates of musicianship as revealed by cortical thickness and voxel-based morphometry. Cerebral Cortex, 19 (7), 1583–1596.

Bernal, S., Dehaene-Lambertz, G., Millotte, S., and Christophe, A. (2010). Two-year-olds compute syntactic structure on-line. Developmental Science, 13 (1), 69–76.

Bessa, C., Maciel, P., and Rodrigues, A. J. (2013). Using C. elegans to decipher the cellular and molecular mechanisms underlying neurodevelopmental disorders. Molecular Neurobiology, 48 (3), 465–489.

Bevins, R. A. (2001). Novelty seeking and reward: Implications for the study of high-risk behaviors. Current Directions in Psychological Science, 10 (6), 189–193.

Bialystok, E., Craik, F. I. M., Green, D. W., and Gollan, T. H. (2009). Bilingual minds. Psychological Science in the Public Interest, 10 (3), 89–129.

Binder, J. R., Medler, D. A., Westbury, C. F., Liebenthal, E., and Buchanan, L. (2006). Tuning of the human left fusiform gyrus to sublexical orthographic structure. NeuroImage, 33 (2), 739–748.

Blair, C., and Raver, C. C. (2014). Closing the achievement gap through modification of neurocognitive and neuroendocrine function: Results from a cluster randomized controlled trial of an innovative approach to the education of children in kindergarten. PLOS ONE, 9 (11), e112393.

Blair, K. P., Rosenberg-Lee, M., Tsang, J. M., Schwartz, D. L., and Menon, V. (2012). Beyond natural numbers: Negative number representation in parietal cortex. Frontiers in Human Neuroscience, 6, 7.

Bliss, T. V., and Lømo, T. (1973). Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. Journal of Physiology, 232 (2), 331–356.

Bock, A. S., Binda, P., Benson, N. C., Bridge, H., Watkins, K. E., and Fine, I. (2015). Resting-state retinotopic organization in the absence of retinal input and visual experience. Journal of Neuroscience, 35 (36), 12366–12382.

Bonawitz, E., Shafto, P., Gweon, H., Goodman, N. D., Spelke, E., and Schulz, L. (2011). The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery. Cognition, 120 (3), 322–330.

Bond, R., and Smith, P. B. (1996). Culture and conformity: A meta-analysis of studies using Asch’s (1952b, 1956) line judgment task. Psychological Bulletin, 119 (1), 111–137.

Borst, G., Poirel, N., Pineau, A., Cassotti, M., and Houdé, O. (2013). Inhibitory control efficiency in a Piaget-like class-inclusion task in school-age children and adults: A developmental negative priming study. Developmental Psychology, 49 (7), 1366–1374.

Bouhali, F., Thiebaut de Schotten, M., Pinel, P., Poupon, C., Mangin, J.-F., Dehaene, S., and Cohen, L. (2014). Anatomical connections of the visual word form area. Journal of Neuroscience, 34 (46), 15402–15414.

Bradley, M. M., Costa, V. D., Ferrari, V., Codispoti, M., Fitzsimmons, J. R., and Lang, P. J.(2015). Imaging distributed and massed repetitions of natural scenes: Spontaneous retrieval and maintenance. Human Brain Mapping, 36 (4), 1381–1392.

Braga, L. W., Amemiya, E., Tauil, A., Sugueida, D., Lacerda, C., Klein, E., ... Dehaene, S. (2017). Tracking adult literacy acquisition with functional MRI: A single-case study. Mind, Brain, and Education, 11 (3), 121–132.

Brewer, J. B., Zhao, Z., Desmond, J. E., Glover, G. H., and Gabrieli, J. D. (1998). Making memories: Brain activity that predicts how well visual experience will be remembered. Science, 281 (5380), 1185–1187.

Brodmann, K. (1909). Vergleichende Lokalisationslehre der Grosshirnrinde [Localisation in the cerebral cortex]. Leipzig: Barth.

Bromberg-Martin, E. S., and Hikosaka, O. (2009). Midbrain dopamine neurons signal preference for advance information about upcoming rewards. Neuron, 63 (1), 119–126.

Bruce, D. J., Evans, C. R., Fenwick, P. B. C., and Spencer, V. (1970). Effect of Presenting Novel Verbal Material during Slow-wave Sleep. Nature, 225 (5235), 873.

Brun, V. H., Leutgeb, S., Wu, H.-Q., Schwarcz, R., Witter, M. P., Moser, E. I., and Moser, M.-B. (2008). Impaired spatial representation in CA1 after lesion of direct input from entorhinal cortex. Neuron, 57 (2), 290–302.

Buon, M., Jacob, P., Margules, S., Brunet, I., Dutat, M., Cabrol, D., and Dupoux, E.(2014). Friend or foe? Early social evaluation of human interactions. PLOS ONE, 9 (2), e88612.

Butler, A. C., Karpicke, J. D., and Roediger, H. L. (2008). Correcting a metacognitive error: Feedback increases retention of low-confidence correct responses. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34 (4), 918–928.

Butterworth, B. (2010). Foundational numerical capacities and the origins of dyscalculia. Trends in Cognitive Sciences, 14 (12), 534–541.

Byers-Heinlein, K., and Werker, J. F. (2009). Monolingual, bilingual, trilingual: Infants’ language experience influences the development of a word-learning heuristic. Developmental Science, 12 (5), 815–823.

Callan, D. E., and Schweighofer, N. (2010). Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Human Brain Mapping, 31 (4), 645–659.

Campbell, F. A., Pungello, E. P., Burchinal, M., Kainz, K., Pan, Y., Wasik, B. H., ...Ramey, C. T. (2012). Adult outcomes as a function of an early childhood educational program: An Abecedarian Project follow-up. Developmental Psychology, 48 (4), 1033–1043.

Campbell, F., Conti, G., Heckman, J. J., Moon, S. H., Pinto, R., Pungello, E., and Pan, Y.(2014). Early childhood investments substantially boost adult health. Science, 343 (6178), 1478–1485.

Cantlon, J. F., Brannon, E. M., Carter, E. J., and Pelphrey, K. A. (2006). Functional imaging of numerical processing in adults and 4-y-old children. PLOS Biology, 4 (5), e125.

Cantlon, J. F., and Li, R. (2013). Neural activity during natural viewing of Sesame Street statistically predicts test scores in early childhood. PLOS Biology, 11 (1), e1001462.

Cardoso-Leite, P., and Bavelier, D. (2014). Video game play, attention, and learning: How to shape the development of attention and influence learning? Current Opinion in Neurology, 27 (2), 185–191.

Carey, S., and Bartlett, E. (1978). Acquiring a single new word. Papers and Reports on Child Language Development, 15, 17–29.

Caroni, P., Donato, F., and Muller, D. (2012). Structural plasticity upon learning: Regulation and functions. Nature Reviews Neuroscience, 13 (7), 478–490.

Carreiras, M., Seghier, M. L., Baquero, S., Estevez, A., Lozano, A., Devlin, J. T., and Price, C. J. (2009). An anatomical signature for literacy. Nature, 461 (7266), 983–986.

Carrier, M., and Pashler, H. (1992). The influence of retrieval on retention. Memory and Cognition, 20 (6), 633–642.

Castles, A., Rastle, K., and Nation, K. (2018). Ending the reading wars: Reading acquisition from novice to expert. Psychological Science in the Public Interest, 19 (1), 5–51.

Castro-Caldas, A., Petersson, K. M., Reis, A., Stone-Elander, S., and Ingvar, M. (1998). The illiterate brain: Learning to read and write during childhood influences the functional organization of the adult brain. Brain, 121 (6), 1053–1063.

Cepeda, N. J., Coburn, N., Rohrer, D., Wixted, J. T., Mozer, M. C., and Pashler, H. (2009). Optimizing distributed practice: Theoretical analysis and practical implications. Experimental Psychology, 56 (4), 236–246.

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., and Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132 (3), 354–380.

Cesana-Arlotti, N., Martín, A., Téglás, E., Vorobyova, L., Cetnarski, R., and Bonatti, L. L.(2018). Precursors of logical reasoning in preverbal human infants. Science, 359 (6381), 1263–1266.

Chafee, M. V. (2013). A scalar neural code for categories in parietal cortex: Representing cognitive variables as “more” or “less.” Neuron, 77 (1), 7–9.

Chakraborty, M., and Jarvis, E. D. (2015). Brain evolution by brain pathway duplication. Philosophical Transactions of the Royal Society B: Biological Sciences, 370 (1684), 20150056.

Chang, C. H. C., Pallier, C., Wu, D. H., Nakamura, K., Jobert, A., Kuo, W.-J., and Dehaene, S. (2015). Adaptation of the human visual system to the statistics of letters and line configurations. NeuroImage, 120, 428–440.

Chao, Z. C., Takaura, K., Wang, L., Fujii, N., and Dehaene, S. (2018). Large-scale cortical networks for hierarchical prediction and prediction error in the primate brain. Neuron, 100 (5), 1252–1266.

Chen, Z., and Wilson, M. A. (2017). Deciphering neural codes of memory during sleep. Trends in Neurosciences, 40 (5), 260–275.

Chiao, J. Y. (2010). Neural basis of social status hierarchy across species. Current Opinion in Neurobiology, 20 (6), 803–809.

Cho, K., Courville, A., and Bengio, Y. (2015). Describing multimedia content using attention-based encoder-decoder networks. IEEE Transactions on Multimedia, 17 (11), 1875–1886.

Chun, M. M., and Marois, R. (2002). The dark side of visual attention. Current Opinion in Neurobiology, 12 (2), 184–189.

Clark, E. V. (1988). On the logic of contrast. Journal of Child Language, 15 (2), 317–335.

Claro, S., Paunesku, D., and Dweck, C. S. (2016). Growth mindset tempers the effects of poverty on academic achievement. Proceedings of the National Academy of Sciences, 113 (31), 8664–8668.

Cohen, L., Dehaene, S., McCormick, S., Durant, S., and Zanker, J. M. (2016). Brain mechanisms of recovery from pure alexia: A single case study with multiple longitudinal scans. Neuropsychologia, 91, 36–49.

Cohen, L., Dehaene, S., Vinckier, F., Jobert, A., and Montavont, A. (2008). Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways. NeuroImage, 40 (1), 353–366.

Conel, J. L. (1939–67). The postnatal development of the human cerebral cortex (Vols. 1–8). Cambridge, MA: Harvard University Press.

Constantinescu, A. O., O’Reilly, J. X., and Behrens, T. E. J. (2016). Organizing conceptual knowledge in humans with a gridlike code. Science, 352 (6292), 1464–1468.

Corallo, G., Sackur, J., Dehaene, S., and Sigman, M. (2008). Limits on introspection: Distorted subjective time during the dual-task bottleneck. Psychological Science, 19 (11), 1110–1117.

Cortese, S., Brown, T. E., Corkum, P., Gruber, R., O’Brien, L. M., Stein, M., ... Owens, J. (2013). Assessment and management of sleep problems in youths with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 52 (8), 784–796.

Costa, A., and Sebastián-Gallés, N. (2014). How does the bilingual experience sculpt the brain? Nature Reviews Neuroscience, 15 (5), 336–345.

Courchesne, E., Pierce, K., Schumann, C. M., Redcay, E., Buckwalter, J. A., Kennedy, D. P., and Morgan, J. (2007). Mapping early brain development in autism. Neuron, 56 (2), 399–413.

Courtney, S. M., Ungerleider, L. G., Keil, K., and Haxby, J. V. (1997). Transient and sustained activity in a distributed neural system for human working memory. Nature, 386 (6625), 608–611.

Craik, F. I. M., and Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104 (3), 268–294.

Csibra, G., and Gergely, G. (2009). Natural pedagogy. Trends in Cognitive Sciences, 13 (4), 148–153.

Çukur, T., Nishimoto, S., Huth, A. G., and Gallant, J. L. (2013). Attention during natural vision warps semantic representation across the human brain. Nature Neuroscience, 16 (6), 763–770.

Curran, T., Tucker, D. M., Kutas, M., and Posner, M. I. (1993). Topography of the N400: Brain electrical activity reflecting semantic expectancy. Electroencephalography and Clinical Neurophysiology, 88 (3), 188–209.

Cyr, M., and Shi, R. (2013). Development of abstract grammatical categorization in infants. Child Development, 84 (2), 617–629.

Darki, F., Peyrard-Janvid, M., Matsson, H., Kere, J., and Klingberg, T. (2012). Three dyslexia susceptibility genes, DYX1C1, DCDC2, and KIAA0319, affect temporoparietal white matter structure. Biological Psychiatry, 72 (8), 671–676.

Deen, B., Richardson, H., Dilks, D. D., Takahashi, A., Keil, B., Wald, L. L., ... Saxe, R.(2017). Organization of high-level visual cortex in human infants. Nature Communications, 8, 13995.

Dehaene, S. (2003). The neural basis of the Weber-Fechner law: A logarithmic mental number line. Trends in Cognitive Sciences, 7 (4), 145–147.

Dehaene, S. (2005). Evolution of human cortical circuits for reading and arithmetic: The“neuronal recycling” hypothesis. In S. Dehaene, J.-R. Duhamel, M. D. Hauser, and G. Rizzolatti (Eds.), From monkey brain to human brain (pp. 133–157). Cambridge, MA: MIT Press.

Dehaene, S. (2007). Symbols and quantities in parietal cortex: Elements of a mathematical theory of number representation and manipulation. In P. Haggard, Y. Rossetti, and M. Kawato (Eds.), Attention and performance XXII: Sensorimotor foundations of higher cognition (pp. 527–574). Cambridge, MA: Harvard University Press.

Dehaene, S. (2009). Reading in the brain: The new science of how we read. New York, NY: Penguin Group.

Dehaene, S. (2011). The number sense: How the mind creates mathematics (2nd ed.). New York, NY: Oxford University Press.

Dehaene, S. (2014). Consciousness and the brain. New York, NY: Penguin Group.

Dehaene, S., and Akhavein, R. (1995). Attention, automaticity, and levels of representation in number processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21 (2), 314–326.

Dehaene, S., Bossini, S., and Giraux, P. (1993). The mental representation of parity and numerical magnitude. Journal of Experimental Psychology: General, 122 (3), 371–396.

Dehaene, S., and Changeux, J. P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70 (2), 200–227.

Dehaene, S., Changeux, J. P., Naccache, L., Sackur, J., and Sergent, C. (2006). Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends in Cognitive Sciences, 10 (5), 204–211.

Dehaene, S., and Cohen, L. (2007). Cultural recycling of cortical maps. Neuron, 56 (2), 384–398.

Dehaene, S., Cohen, L., Morais, J., and Kolinsky, R. (2015). Illiterate to literate: Behavioural and cerebral changes induced by reading acquisition. Nature Reviews Neuroscience, 16 (4), 234–244.

Dehaene, S., Cohen, L., Sigman, M., and Vinckier, F. (2005). The neural code for written words: A proposal. Trends in Cognitive Sciences, 9 (7), 335–341.

Dehaene, S., Dupoux, E., and Mehler, J. (1990). Is numerical comparison digital? Analogical and symbolic effects in two-digit number comparison. Journal of Experimental Psychology: Human Perception and Performance, 16 (3), 626–641.

Dehaene, S., Izard, V., Pica, P., and Spelke, E. (2006). Core knowledge of geometry in an Amazonian indigene group. Science, 311 (5759), 381–384.

Dehaene, S., Izard, V., Spelke, E., and Pica, P. (2008). Log or linear? Distinct intuitions of the number scale in Western and Amazonian indigene cultures. Science, 320 (5880), 1217–1220.

Dehaene, S., Jobert, A., Naccache, L., Ciuciu, P., Poline, J.-B., Le Bihan, D., and Cohen, L. (2004). Letter binding and invariant recognition of masked words: Behavioral and neuroimaging evidence. Psychological Science, 15 (5), 307–313.

Dehaene, S., Kerszberg, M., and Changeux, J. P. (1998). A neuronal model of a global workspace in effortful cognitive tasks. Proceedings of the National Academy of Sciences, 95 (24), 14529–14534.

Dehaene, S., Lau, H., and Kouider, S. (2017). What is consciousness, and could machines have it? Science, 358 (6362), 486–492.

Dehaene, S., and Marques, J. F. (2002). Cognitive euroscience: Scalar variability in price estimation and the cognitive consequences of switching to the euro. Quarterly Journal of Experimental Psychology, 55 (3), 705–731.

Dehaene, S., Meyniel, F., Wacongne, C., Wang, L., and Pallier, C. (2015). The neural representation of sequences: From transition probabilities to algebraic patterns and linguistic trees. Neuron, 88 (1), 2–19.

Dehaene, S., and Naccache, L. (2001). Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition, 79 (1–2), 1–37.

Dehaene, S., Naccache, L., Cohen, L., Le Bihan, D., Mangin, J.-F., Poline, J.-B., and Rivière, D. (2001). Cerebral mechanisms of word masking and unconscious repetition priming. Nature Neuroscience, 4 (7), 752–758.

Dehaene, S., Pegado, F., Braga, L. W., Ventura, P., Nunes Filho, G., Jobert, A., ... Cohen, L. (2010). How learning to read changes the cortical networks for vision and language. Science, 330 (6009), 1359–1364.

Dehaene-Lambertz, G., Dehaene, S., and Hertz-Pannier, L. (2002). Functional neuroimaging of speech perception in infants. Science, 298 (5600), 2013–2015.

Dehaene-Lambertz, G., Hertz-Pannier, L., Dubois, J., Meriaux, S., Roche, A., Sigman, M., and Dehaene, S. (2006). Functional organization of perisylvian activation during presentation of sentences in preverbal infants. Proceedings of the National Academy of Sciences, 103 (38), 14240–14245.

Dehaene-Lambertz, G., Monzalvo, K., and Dehaene, S. (2018). The emergence of the visual word form: Longitudinal evolution of category-specific ventral visual areas during reading acquisition. PLOS Biology, 16 (3), e2004103.

Dehaene-Lambertz, G., and Spelke, E. S. (2015). The infancy of the human brain. Neuron, 88 (1), 93–109.

de Lavilléon, G., Lacroix, M. M., Rondi-Reig, L., and Benchenane, K. (2015). Explicit memory creation during sleep demonstrates a causal role of place cells in navigation. Natura Neuroscience, 18 (4), 493–495.

Denison, S., and Xu, F. (2010). Integrating physical constraints in statistical inference by 11-month-old infants. Cognitive Science, 34 (5), 885–908.

Dennett, D. C. (1995). Darwin’s dangerous idea: Evolution and the meanings of life. New York, NY: Simon and Schuster.

Desimone, R., and Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193–222.

D’Esposito, M., and Grossman, M. (1996). The physiological basis of executive function and working memory. Neuroscientist, 2 (6), 345–352.

Diamond, A., and Doar, B. (1989). The performance of human infants on a measure of frontal cortex function, the delayed response task. Developmental Psychobiology, 22 (3), 271–294.

Diamond, A., and Goldman-Rakic, P. S. (1989). Comparison of human infants and rhesus monkeys on Piaget’s AB task: Evidence for dependence on dorsolateral prefrontal cortex. Experimental Brain Research, 74 (1), 24–40.

Diamond, A., and Lee, K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science, 333 (6045), 959–964.

Diekelmann, S., and Born, J. (2010). The memory function of sleep. Nature Reviews Neuroscience, 11 (2), 114–126.

Diester, I., and Nieder, A. (2007). Semantic associations between signs and numerical categories in the prefrontal cortex. PLOS Biology, 5 (11), e294.

Diester, I., and Nieder, A. (2010). Numerical values leave a semantic imprint on associated signs in monkeys. Journal of Cognitive Neuroscience, 22 (1), 174–183.

Ditz, H. M., and Nieder, A. (2015). Neurons selective to the number of visual items in the corvid songbird endbrain. Proceedings of the National Academy of Sciences, 112 (25), 7827–7832.

Doeller, C. F., Barry, C., and Burgess, N. (2010). Evidence for grid cells in a human memory network. Nature, 463 (7281), 657–661.

Donato, F., Rompani, S. B., and Caroni, P. (2013). Parvalbumin-expressing basket-cell network plasticity induced by experience regulates adult learning. Nature, 504 (7479), 272–276.

Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., and May, A. (2004). Neuroplasticity: Changes in grey matter induced by training. Nature, 427 (6972), 311–312.

Dubois, J., Dehaene-Lambertz, G., Perrin, M., Mangin, J.-F., Cointepas, Y., Duchesnay, E., ... Hertz-Pannier, L. (2007). Asynchrony of the early maturation of white matter bundles in healthy infants: Quantitative landmarks revealed noninvasively by diffusion tensor imaging. Human Brain Mapping, 29, 14–27.

Dubois, J., Hertz-Pannier, L., Cachia, A., Mangin, J.-F., Le Bihan, D., and Dehaene-Lambertz, G. (2009). Structural asymmetries in the infant language and sensori-motor networks. Cerebral Cortex, 19 (2), 414–423.

Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., ... Dehaene-Lambertz, G. (2015). Exploring the early organization and maturation of linguistic pathways in the human infant brain. Cerebral Cortex, 26 (5), 2283–2298.

Dumontheil, I., and Klingberg, T. (2011). Brain activity during a visuospatial working memory task predicts arithmetical performance 2 years later. Cerebral Cortex, 22 (5), 1078–1085.

Duncan, J. (2003). Intelligence tests predict brain response to demanding task events. Nature Neuroscience, 6 (3), 207–208.

Duncan, J. (2010). The multiple-demand (MD) system of the primate brain: Mental programs for intelligent behaviour. Trends in Cognitive Sciences, 14 (4), 172–179.

Duncan, J. (2013). The structure of cognition: Attentional episodes in mind and brain. Neuron, 80 (1), 35–50.

Dundas, E. M., Plaut, D. C., and Behrmann, M. (2013). The joint development of hemispheric lateralization for words and faces. Journal of Experimental Psychology: General, 142 (2), 348–358.

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14 (1), 4–58.

Dunster, G. P., Iglesia, L. de la, Ben-Hamo, M., Nave, C., Fleischer, J. G., Panda, S., and Iglesia, H. O. de la. (2018). Sleepmore in Seattle: Later school start times are associated with more sleep and better performance in high school students. Science Advances, 4 (12), eaau6200.

Duyme, M., Dumaret, A.-C., and Tomkiewicz, S. (1999). How can we boost IQs of “dull children”? A late adoption study. Proceedings of the National Academy of Sciences, 96 (15), 8790–8794.

Dweck, C. S. (2006). Mindset: The new psychology of success. New York, NY: Random House.

Egyed, K., Király, I., and Gergely, G. (2013). Communicating shared knowledge in infancy. Psychological Science, 24 (7), 1348–1353.

Ehri, L. C., Nunes, S. R., Stahl, S. A., and Willows, D. M. (2001). Systematic phonics instruction helps students learn to read: Evidence from the National Reading Panel’s meta-analysis. Review of Educational Research, 71 (3), 393–447.

Ellis, A. W., and Lambon Ralph, M. A. (2000). Age of acquisition effects in adult lexical processing reflect loss of plasticity in maturing systems: Insights from connectionist networks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26 (5), 1103–1123.

Elman, J. L., Bates, E. A., Johnson, M. H., Karmiloff-Smith, A., Parisi, D., and Plunkett, K. (1996). Rethinking innateness: A connectionist perspective on development. Cambridge, MA: MIT Press.

Elsayed, G. F., Shankar, S., Cheung, B., Papernot, N., Kurakin, A., Goodfellow, I., and Sohl-Dickstein, J. (2018). Adversarial examples that fool both human and computer vision. https://arxiv.org/abs/1802.08195v1.

Elston, G. N. (2003). Cortex, cognition and the cell: New insights into the pyramidal neuron and prefrontal function. Cerebral Cortex, 13 (11), 1124–1138.

Emmons, W. H., and Simon, C. W. (1956). The non-recall of material presented during sleep. The American Journal of Psychology, 69, 76–81.

Epelbaum, M., Milleret, C., Buisseret, P., and Duffer, J. L. (1993). The sensitive period for strabismic amblyopia in humans. Ophthalmology, 100 (3), 323–327.

Esseily, R., Rat-Fischer, L., Somogyi, E., O’Regan, K. J., and Fagard, J. (2016). Humour production may enhance observational learning of a new tool-use action in 18-month-old infants. Cognition and Emotion, 30 (4), 817–825.

Ester, E. F., Sprague, T. C., and Serences, J. T. (2015). Parietal and frontal cortex encode stimulus-specific mnemonic representations during visual working memory. Neuron, 87 (4), 893–905.

Everaert, M. B. H., Huybregts, M. A. C., Chomsky, N., Berwick, R. C., and Bolhuis, J. J.(2015). Structures, not strings: Linguistics as part of the cognitive sciences. Trends in Cognitive Sciences, 19 (12), 729–743.

Fanselow, M. S. (1998). Pavlovian conditioning, negative feedback, and blocking: Mechanisms that regulate association formation. Neuron, 20 (4), 625–627.

Fattal, I., Friedmann, N., and Fattal-Valevski, A. (2011). The crucial role of thiamine in the development of syntax and lexical retrieval: A study of infantile thiamine deficiency. Brain, 134 (6), 1720–1739.

Fawcett, S. L., Wang, Y.-Z., and Birch, E. E. (2005). The critical period for susceptibility of human stereopsis. Investigative Ophthalmology and Visual Science, 46 (2), 521–525.

Fischer, M. H. (2003). Cognitive representation of negative numbers. Psychological Science, 14 (3), 278–282.

Fisher, A. V., Godwin, K. E., and Seltman, H. (2014). Visual environment, attention allocation, and learning in young children when too much of a good thing may be bad. Psychological Science, 25 (7), 1362–1370.

Fitzgerald, J. K., Freedman, D. J., Fanini, A., Bennur, S., Gold, J. I., and Assad, J. A. (2013). Biased associative representations in parietal cortex. Neuron, 77 (1), 180–191.

Fitzsimonds, R. M., Song, H.-J., and Poo, M.-M. (1997). Propagation of activity-dependent synaptic depression in simple neural networks. Nature, 388 (6641), 439–448.

Flechsig, P. (1876). Die Leitungsbahnen im Gehirn und Rückenmark des Menschen auf Grund Entwickelungsgeschichtlicher Untersuchungen. Leipzig: Engelmann.

Flege, J. E., Munro, M. J., and MacKay, I. R. (1995). Factors affecting strength of perceived foreign accent in a second language. Journal of the Acoustical Society of America, 97 (5), 3125–3134.

Fleming, S. M., Weil, R. S., Nagy, Z., Dolan, R. J., and Rees, G. (2010). Relating introspective accuracy to individual differences in brain structure. Science, 329 (5998), 1541–1543.

Fodor, J. A. (1975). The language of thought. New York, NY: Thomas Y. Crowell.

Fodor, J. A., and Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. Cognition, 28 (1–2), 3–71.

Fodor, J., and McLaughlin, B. P. (1990). Connectionism and the problem of systematicity: Why Smolensky’s solution doesn’t work. Cognition, 35 (2), 183–204.

Frank, M. C., Everett, D. L., Fedorenko, E., and Gibson, E. (2008). Number as a cognitive technology: Evidence from Pirahã language and cognition. Cognition, 108 (3), 819–824.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., and Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111 (23), 8410–8415.

Friederici, A. D. (2002). Towards a neural basis of auditory sentence processing. Trends in Cognitive Sciences, 6 (2), 78–84.

Friedmann, N., Kerbel, N., and Shvimer, L. (2010). Developmental attentional dyslexia. Cortex, 46 (10), 1216–1237.

Friedmann, N., and Rusou, D. (2015). Critical period for first language: The crucial role of language input during the first year of life. Current Opinion in Neurobiology, 35, 27–34.

Friedrich, M., Wilhelm, I., Born, J., and Friederici, A. D. (2015). Generalization of word meanings during infant sleep. Nature Communications, 6, 6004.

Friston, K. (2005). A theory of cortical responses. Philosophical Transactions of the Royal Society B: Biological Sciences, 360 (1456), 815–836.

Froemke, R. C., Merzenich, M. M., and Schreiner, C. E. (2007). A synaptic memory trace for cortical receptive field plasticity. Nature, 450 (7168), 425–429.

Fukuchi-Shimogori, T., and Grove, E. A. (2001). Neocortex patterning by the secreted signaling molecule FGF8. Science, 294 (5544), 1071–1074.

Fyhn, M., Molden, S., Witter, M. P., Moser, E. I., and Moser, M.-B. (2004). Spatial representation in the entorhinal cortex. Science, 305 (5688), 1258–1264.

Galaburda, A. M., LoTurco, J., Ramus, F., Fitch, R. H., and Rosen, G. D. (2006). From genes to behavior in developmental dyslexia. Nature Neuroscience, 9 (10), 1213–1217.

Galgali, A. R., and Mante, V. (2018). Set in one’s thoughts. Nature Neuroscience, 21 (4), 459–460.

Gallistel, C. R. (1990). The organization of learning. Cambridge, MA: MIT Press.

Gaser, C., and Schlaug, G. (2003). Brain structures differ between musicians and nonmusicians. Journal of Neuroscience, 23 (27), 9240–9245.

Gathercole, S. E., Pickering, S. J., Knight, C., and Stegmann, Z. (2004). Working memory skills and educational attainment: Evidence from national curriculum assessments at 7 and 14 years of age. Applied Cognitive Psychology, 18 (1), 1–16.

Geary, D. C. (2011). Cognitive predictors of achievement growth in mathematics: A five-year longitudinal study. Developmental Psychology, 47 (6), 1539–1552.

Genzel, L., Rossato, J. I., Jacobse, J., Grieves, R. M., Spooner, P. A., Battaglia, F. P., ...Morris, R. G. M. (2017). The yin and yang of memory consolidation: Hippocampal and neocortical. PLOS Biology, 15 (1), e2000531.

George, D., Lehrach, W., Kansky, K., Lázaro-Gredilla, M., Laan, C., Marthi, B., ...Phoenix, D. S. (2017). A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs. Science, 358 (6368).

Gerber, P., Schlaffke, L., Heba, S., Greenlee, M. W., Schultz, T., and Schmidt-Wilcke, T. (2014). Juggling revisited— a voxel-based morphometry study with expert jugglers. NeuroImage, 95, 320–325.

Gergely, G., Bekkering, H., and Király, I. (2002). Rational imitation in preverbal infants. Nature, 415 (6873), 755.

Gergely, G., and Csibra, G. (2003). Teleological reasoning in infancy: The naïve theory of rational action. Trends in Cognitive Sciences, 7 (7), 287–292.

Gerhand, S., and Barry, C. (1999). Age of acquisition, word frequency, and the role of phonology in the lexical decision task. Memory and Cognition, 27 (4), 592–602.

Gertler, P., Heckman, J., Pinto, R., Zanolini, A., Vermeersch, C., Walker, S., ...Grantham-McGregor, S. (2014). Labor market returns to an early childhood stimulation intervention in Jamaica. Science, 344 (6187), 998–1001.

Glass, A. L., and Kang, M. (2018). Dividing attention in the classroom reduces exam performance. Educational Psychology, 39 (3), 395–408.

Goldman-Rakic, P. S. (1995). Cellular basis of working memory. Neuron, 14 (3), 477–485.

Golestani, N., Molko, N., Dehaene, S., Le Bihan, D., and Pallier, C. (2007). Brain structure predicts the learning of foreign speech sounds. Cerebral Cortex, 17 (3), 575–582.

Golub, M. D., Sadtler, P. T., Oby, E. R., Quick, K. M., Ryu, S. I., Tyler-Kabara, E. C., ...Yu, B. M. (2018). Learning by neural reassociation. Nature Neuroscience, 21 (4), 607–616.

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ...Bengio, Y. (2014). Generative adversarial networks. arxiv.org/abs/1406.2661.

Goodman, C. S., and Shatz, C. J. (1993). Developmental mechanisms that generate precise patterns of neuronal connectivity. Cell, 72 Suppl, 77–98.

Goodman, N. D., Ullman, T. D., and Tenenbaum, J. B. (2011). Learning a theory of causality. Psychological Review, 118 (1), 110–119.

Gopnik, A., Glymour, C., Sobel, D. M., Schulz, L. E., Kushnir, T., and Danks, D. (2004). A theory of causal learning in children: Causal maps and Bayes nets. Psychological Review, 111 (1), 3–32.

Gopnik, A., Meltzoff, A. N., and Kuhl, P. K. (1999). The scientist in the crib: What early learning tells us about the mind. New York, NY: William Morrow.

Gottlieb, J., Oudeyer, P.-Y., Lopes, M., and Baranes, A. (2013). Information-seeking, curiosity, and attention: Computational and neural mechanisms. Trends in Cognitive Sciences, 17 (11), 585–593.

Goupil, L., Romand-Monnier, M., and Kouider, S. (2016). Infants ask for help when they know they don’t know. Proceedings of the National Academy of Sciences, 113 (13), 3492–3496.

Grainger, J., and Whitney, C. (2004). Does the huamn mnid raed wrods as a wlohe? Trends in Cognitive Sciences, 8 (2), 58–59.

Grantham-McGregor, S. M., Powell, C. A., Walker, S. P., and Himes, J. H. (1991). Nutritional supplementation, psychosocial stimulation, and mental development of stunted children: The Jamaican Study. Lancet, 338 (8758), 1–5.

Green, C. S., and Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423 (6939), 534–537.

Groen, G. J., and Parkman, J. M. (1972). A chronometric analysis of simple addition. Psychological Review, 79 (4), 329–343.

Grothendieck, A. (1986). Récoltes et semailles: Réflexions et témoignage sur un passé de mathématicien. quarante-deux.org/archives/klein/prefaces/Romans_1965-1969/Recoltes_et_semailles.pdf.

Gruber, M. J., Gelman, B. D., and Ranganath, C. (2014). States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit. Neuron, 84 (2), 486–496.

Guerguiev, J., Lillicrap, T. P., and Richards, B. A. (2017). Towards deep learning with segregated dendrites. ELife, 6, e22901.

Gullick, M. M., and Wolford, G. (2013). Understanding less than nothing: Children’s neural response to negative numbers shifts across age and accuracy. Frontiers in Psychology, 4, 584.

Gweon, H., Tenenbaum, J. B., and Schulz, L. E. (2010). Infants consider both the sample and the sampling process in inductive generalization. Proceedings of the National Academy of Sciences, 107 (20), 9066–9071.

Habibi, A., Damasio, A., Ilari, B., Elliott Sachs, M., and Damasio, H. (2018). Music training and child development: A review of recent findings from a longitudinal study. Annals of the New York Academy of Sciences.

Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., and Moser, E. I. (2005). Microstructure of a spatial map in the entorhinal cortex. Nature, 436 (7052), 801–806.

Hahne, A., and Friederici, A. D. (1999). Electrophysiological evidence for two steps in syntactic analysis: Early automatic and late controlled processes. Journal of Cognitive Neuroscience, 11 (2), 194–205.

Halberda, J., and Feigenson, L. (2008). Developmental change in the acuity of the “number sense”: The approximate number system in 3-, 4-, 5-, and 6-year-olds and adults. Developmental Psychology, 44 (5), 1457–1465.

Hannagan, T., Amedi, A., Cohen, L., Dehaene-Lambertz, G., and Dehaene, S. (2015). Origins of the specialization for letters and numbers in ventral occipitotemporal cortex. Trends in Cognitive Sciences, 19 (7), 374–382.

Hannagan, T., Nieder, A., Viswanathan, P., and Dehaene, S. (2017). A random-matrix theory of the number sense. Philosophical Transactions of the Royal Society B: Biological Sciences, 373 (1740), 20170253.

Hartshorne, J. K., Tenenbaum, J. B., and Pinker, S. (2018). A critical period for second language acquisition: Evidence from ⅔ million English speakers. Cognition, 177, 263–277.

Hassabis, D., Kumaran, D., Summerfield, C., and Botvinick, M. (2017). Neuroscience-inspired artificial intelligence. Neuron, 95 (2), 245–258.

Hattie, J. (2008). Visible learning. London and New York, NY: Routledge.

Hattie, J. (2017). L’apprentissage visible pour les enseignants: Connaître son impact pour maximiser le rendement des élèves. Québec: Presses de l’Université du Québec.

Hauser, M. D., Chomsky, N., and Fitch, W. T. (2002). The faculty of language: What is it, who has it, and how did it evolve? Science, 298 (5598), 1569–1579.

Hauser, M. D., and Watumull, J. (2017). The Universal Generative Faculty: The source of our expressive power in language, mathematics, morality, and music. Journal of Neurolinguistics, 43 Part B, 78–94.

Hay, J. F., Pelucchi, B., Graf Estes, K., and Saffran, J. R. (2011). Linking sounds to meanings: Infant statistical learning in a natural language. Cognitive Psychology, 63 (2), 93–106.

Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., and Yavitz, A. (2010). The rate of return to the HighScope Perry Preschool Program. Journal of Public Economics, 94 (1), 114–128.

Heilbron, M., and Meyniel, F. (2019). Confidence resets reveal hierarchical adaptive learning in humans. PLOS Computational Biology, 15 (4), e1006972. doi.org/10.1371/journal.pcbi.1006972.

Held, R., and Hein, A. (1963). Movement-produced stimulation in the development of visually guided behavior. Journal of Comparative and Physiological Psychology, 56 (5), 872–876.

Hensch, T. K. (2005). Critical period plasticity in local cortical circuits. Nature Reviews Neuroscience, 6 (11), 877–888.

Hespos, S. J., and Baillargeon, R. (2008). Young infants’ actions reveal their developing knowledge of support variables: Converging evidence for violation-of-expectation findings. Cognition, 107 (1), 304–316.

Hinton, G. E., Dayan, P., Frey, B. J., and Neal, R. M. (1995). The “wake-sleep” algorithm for unsupervised neural networks. Science, 268 (5214), 1158–1161.

Hinton, G. E., Osindero, S., and Teh, Y.-W. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18 (7), 1527–1554.

Hiscock, H., Sciberras, E., Mensah, F., Gerner, B., Efron, D., Khano, S., and Oberklaid, F. (2015). Impact of a behavioural sleep intervention on symptoms and sleep in children with attention deficit hyperactivity disorder, and parental mental health: Randomised controlled trial. BMJ (Clinical Research Ed.), 350, h68.

Hoeft, F., McCandliss, B. D., Black, J. M., Gantman, A., Zakerani, N., Hulme, C., ...Gabrieli, J. D. E. (2011). Neural systems predicting long-term outcome in dyslexia. Proceedings of the National Academy of Sciences, 108 (1), 361–366.

Holtmaat, A., and Caroni, P. (2016). Functional and structural underpinnings of neuronal assembly formation in learning. Nature Neuroscience, 19 (12), 1553–1562.

Horikawa, T., Tamaki, M., Miyawaki, Y., and Kamitani, Y. (2013). Neural decoding of visual imagery during sleep. Science, 340 (6132), 639–642.

Houdé, O., Zago, L., Mellet, E., Moutier, S., Pineau, A., Mazoyer, B., and Tzourio-Mazoyer, N. (2000). Shifting from the perceptual brain to the logical brain: The neural impact of cognitive inhibition training. Journal of Cognitive Neuroscience, 12 (5), 721–728.

Huber, R., Ghilardi, M. F., Massimini, M., and Tononi, G. (2004). Local sleep and learning. Nature, 430 (6995), 78–81.

Hurley, M. M., Dennett, D. C., and Adams, R. B. (2011). Inside jokes: Using humor to reverse-engineer the mind. Cambridge, MA: MIT Press.

Huttenlocher, P. R., and Dabholkar, A. S. (1997). Regional differences in synaptogenesis in human cerebral cortex. Journal of Comparative Neurology, 387 (2), 167–178.

Hutton, J. S., Horowitz-Kraus, T., Mendelsohn, A. L., DeWitt, T., Holland, S. K., and C-MIND Authorship Consortium. (2015). Home reading environment and brain activation in preschool children listening to stories. Pediatrics, 136 (3), 466–478.

Hutton, J. S., Phelan, K., Horowitz-Kraus, T., Dudley, J., Altaye, M., DeWitt, T., and Holland, S. K. (2017). Shared reading quality and brain activation during story listening in preschool-age children. Journal of Pediatrics, 191, 204–211.e1.

Iriki, A. (2005). A prototype of Homo faber: A silent precursor of human intelligence in the tool-using monkey brain. In S. Dehaene, J.-R. Duhamel, M. D. Hauser, and G. Rizzolatti (Eds.), From monkey brain to human brain (pp. 253–271). Cambridge, MA: MIT Press.

Isaacs, E. B., Edmonds, C. J., Lucas, A., and Gadian, D. G. (2001). Calculation difficulties in children of very low birthweight: A neural correlate. Brain, 124 (9), 1701–1707.

Isingrini, M., Perrotin, A., and Souchay, C. (2008). Aging, metamemory regulation and executive functioning. Progress in Brain Research, 169, 377–392.

Iuculano, T. (2016). Neurocognitive accounts of developmental dyscalculia and its remediation. Progress in Brain Research, 227, 305–333.

Izard, V., Dehaene-Lambertz, G., and Dehaene, S. (2008). Distinct cerebral pathways for object identity and number in human infants. PLOS Biology, 6 (2), 275–285.

Izard, V., Sann, C., Spelke, E. S., and Streri, A. (2009). Newborn infants perceive abstract numbers. Proceedings of the National Academy of Sciences, 106 (25), 10382–10385.

Jacob, S. N., and Nieder, A. (2009). Notation-independent representation of fractions in the human parietal cortex. Journal of Neuroscience, 29 (14), 4652–4657.

Jacoby, L. L., and Dallas, M. (1981). On the relationship between autobiographical memory and perceptual learning. Journal of Experimental Psychology: General, 110 (3), 306–340.

Jaeggi, S. M., Buschkuehl, M., Jonides, J., and Shah, P. (2011). Short- and long-term benefits of cognitive training. Proceedings of the National Academy of Sciences, 108 (25), 10081–10086.

James, C. E., Oechslin, M. S., Van De Ville, D., Hauert, C.-A., Descloux, C., and Lazeyras, F. (2014). Musical training intensity yields opposite effects on grey matter density in cognitive versus sensorimotor networks. Brain Structure and Function, 219 (1), 353–366.

Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge, MA: Cambridge University Press.

Jenkins, J. G., and Dallenbach, K. M. (1924). Obliviscence during sleep and waking. American Journal of Psychology, 35 (4), 605–612.

Ji, D., and Wilson, M. A. (2007). Coordinated memory replay in the visual cortex and hippocampus during sleep. Nature Neuroscience, 10 (1), 100–107.

Jiang, X., Long, T., Cao, W., Li, J., Dehaene, S., and Wang, L. (2018). Production of supra-regular spatial sequences by macaque monkeys. Current Biology, 28 (12), 1851–1859.

Jiang, X., Shamie, I., Doyle, W. K., Friedman, D., Dugan, P., Devinsky, O., ... Halgren, E. (2017). Replay of large-scale spatio-temporal patterns from waking during subsequent NREM sleep in human cortex. Scientific Reports, 7, 17380.

Jo, J., and Bengio, Y. (2017). Measuring the tendency of CNNs to learn surface statistical regularities. arxiv.org/abs/1711.11561.

Johansson, F., Jirenhed, D.-A., Rasmussen, A., Zucca, R., and Hesslow, G. (2014). Memory trace and timing mechanism localized to cerebellar Purkinje cells. Proceedings of the National Academy of Sciences, 111 (41), 14930–14934.

Johnson, J. S., and Newport, E. L. (1989). Critical period effects in second language learning: The influence of maturational state on the acquisition of English as a second language. Cognitive Psychology, 21 (1), 60–99.

Josselyn, S. A., Köhler, S., and Frankland, P. W. (2015). Finding the engram. Nature Reviews Neuroscience, 16 (9), 521–534.

Kaminski, J., Call, J., and Fischer, J. (2004). Word learning in a domestic dog: Evidence for “fast mapping.” Science, 304 (5677), 1682–1683.

Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T., and Camerer, C. F. (2009). The wick in the candle of learning: Epistemic curiosity activates reward circuitry and enhances memory. Psychological Science, 20 (8), 963–973.

Kang, S. H. K., Lindsey, R. V., Mozer, M. C., and Pashler, H. (2014). Retrieval practice over the long term: Should spacing be expanding or equal-interval? Psychonomic Bulletin and Review, 21 (6), 1544–1550.

Kanjlia, S., Lane, C., Feigenson, L., and Bedny, M. (2016). Absence of visual experience modifies the neural basis of numerical thinking. Proceedings of the National Academy of Sciences, 113 (40), 11172–11177.

Kano, T., Brockie, P. J., Sassa, T., Fujimoto, H., Kawahara, Y., Iino, Y., ... Maricq, A. V.(2008). Memory in Caenorhabditis elegans is mediated by NMDA-type ionotropic glutamate receptors. Current Biology, 18 (13), 1010–1015.

Kaplan, F., and Oudeyer, P.-Y. (2007). In search of the neural circuits of intrinsic motivation. Frontiers in Neuroscience, 1 (1), 225–236.

Kapur, S., Craik, F. I., Tulving, E., Wilson, A. A., Houle, S., and Brown, G. M. (1994). Neuroanatomical correlates of encoding in episodic memory: Levels of processing effect. Proceedings of the National Academy of Sciences, 91 (6), 2008–2011.

Karni, A., Tanne, D., Rubenstein, B. S., Askenasy, J., and Sagi, D. (1994). Dependence on REM sleep of overnight improvement of a perceptual skill. Science, 265 (5172), 679–682.

Karpicke, J. D., and Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319 (5865), 966–968.

Kastner, S., and Ungerleider, L. G. (2000). Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience, 23, 315–341.

Keller, H. (1903). The story of my life. New York, NY: Doubleday, Page and Co.

Kellman, P. J., and Spelke, E. S. (1983). Perception of partly occluded objects in infancy. Cognitive Psychology, 15 (4), 483–524.

Kemp, C., and Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences, 105 (31), 10687–10692.

Kidd, C., Piantadosi, S. T., and Aslin, R. N. (2012). The Goldilocks effect: Human infants allocate attention to visual sequences that are neither too simple nor too complex. PLOS ONE, 7 (5), e36399.

Kidd, C., Piantadosi, S. T., and Aslin, R. N. (2014). The Goldilocks effect in infant auditory attention. Child Development, 85 (5), 1795–1804.

Kilgard, M. P., and Merzenich, M. M. (1998). Cortical map reorganization enabled by nucleus basalis activity. Science, 279 (5357), 1714–1718.

Kim, J. J., and Diamond, D. M. (2002). The stressed hippocampus, synaptic plasticity and lost memories. Nature Reviews Neuroscience, 3 (6), 453–462.

Kim, W. B., and Cho, J.-H. (2017). Encoding of discriminative fear memory by input-specific LTP in the amygdala. Neuron, 95 (5), 1129–1146.

Kirschner, P. A., Sweller, J., and Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41 (2), 75–86.

Kirschner, P. A., and van Merriënboer, J. J. G. (2013). Do learners really know best? Urban legends in education. Educational Psychologist, 48 (3), 169–183.

Kitamura, T., Ogawa, S. K., Roy, D. S., Okuyama, T., Morrissey, M. D., Smith, L. M., ...Tonegawa, S. (2017). Engrams and circuits crucial for systems consolidation of a memory. Science, 356 (6333), 73–78.

Klingberg, T. (2010). Training and plasticity of working memory. Trends in Cognitive Sciences, 14 (7), 317–324.

Knops, A., Thirion, B., Hubbard, E. M., Michel, V., and Dehaene, S. (2009). Recruitment of an area involved in eye movements during mental arithmetic. Science, 324 (5934), 1583–1585.

Knops, A., Viarouge, A., and Dehaene, S. (2009). Dynamic representations underlying symbolic and nonsymbolic calculation: Evidence from the operational momentum effect. Attention, Perception, and Psychophysics, 71 (4), 803–821.

Knudsen, E. I., and Knudsen, P. F. (1990). Sensitive and critical periods for visual calibration of sound localization by barn owls. Journal of Neuroscience, 10 (1), 222–232.

Knudsen, E. I., Zheng, W., and DeBello, W. M. (2000). Traces of learning in the auditory localization pathway. Proceedings of the National Academy of Sciences, 97 (22), 11815–11820.

Koechlin, E., Dehaene, S., and Mehler, J. (1997). Numerical transformations in five-month-old human infants. Mathematical Cognition, 3 (2), 89–104.

Koechlin, E., Ody, C., and Kouneiher, F. (2003). The architecture of cognitive control in the human prefrontal cortex. Science, 302 (5648), 1181–1185.

Koepp, M. J., Gunn, R. N., Lawrence, A. D., Cunningham, V. J., Dagher, A., Jones, T., ...Grasby, P. M. (1998). Evidence for striatal dopamine release during a video game. Nature, 393 (6682), 266–268.

Kolinsky, R., Morais, J., Content, A., and Cary, L. (1987). Finding parts within figures: A developmental study. Perception, 16 (3), 399–407.

Kolinsky, R., Verhaeghe, A., Fernandes, T., Mengarda, E. J., Grimm-Cabral, L., and Morais, J. (2011). Enantiomorphy through the looking glass: Literacy effects on mirror-image discrimination. Journal of Experimental Psychology: General, 140 (2), 210–238.

Kontra, C., Goldin-Meadow, S., and Beilock, S. L. (2012). Embodied learning across the life span. Topics in Cognitive Science, 4 (4), 731–739.

Kontra, C., Lyons, D. J., Fischer, S. M., and Beilock, S. L. (2015). Physical experience enhances science learning. Psychological Science, 26 (6), 737–749.

Kouider, S., Stahlhut, C., Gelskov, S. V., Barbosa, L. S., Dutat, M., de Gardelle, V., ...Dehaene-Lambertz, G. (2013). A neural marker of perceptual consciousness in infants. Science, 340 (6130), 376–380.

Krause, M. R., Zanos, T. P., Csorba, B. A., Pilly, P. K., Choe, J., Phillips, M. E., ... Pack, C. C. (2017). Transcranial direct current stimulation facilitates associative learning and alters functional connectivity in the primate brain. Current Biology, 27 (20), 3086–3096.

Kropff, E., and Treves, A. (2008). The emergence of grid cells: Intelligent design or just adaptation? Hippocampus, 18 (12), 1256–1269.

Krubitzer, L. (2007). The magnificent compromise: Cortical field evolution in mammals. Neuron, 56 (2), 201–208.

Kuhl, P. K., Tsao, F. M., and Liu, H. M. (2003). Foreign-language experience in infancy: Effects of short-term exposure and social interaction on phonetic learning. Proceedings of the National Academy of Sciences, 100 (15), 9096–9101.

Kurdziel, L., Duclos, K., and Spencer, R. M. C. (2013). Sleep spindles in midday naps enhance learning in preschool children. Proceedings of the National Academy of Sciences, 110 (43), 17267–17272.

Kushnir, T., Xu, F., and Wellman, H. M. (2010). Young children use statistical sampling to infer the preferences of other people. Psychological Science, 21 (8), 1134–1140.

Kutas, M., and Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62, 621–647.

Kutas, M., and Hillyard, S. A. (1980). Reading senseless sentences: Brain potentials reflect semantic incongruity. Science, 207 (4427), 203–205.

Kutter, E. F., Bostroem, J., Elger, C. E., Mormann, F., and Nieder, A. (2018). Single neurons in the human brain encode numbers. Neuron, 100 (3), 753–761.

Kwan, K. Y., Lam, M. M. S., Johnson, M. B., Dube, U., Shim, S., Rašin, M.-R., ... Šestan, N. (2012). Species-dependent posttranscriptional regulation of NOS1 by FMRP in the developing cerebral cortex. Cell, 149 (4), 899–911.

Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B. (2015). Human-level concept learning through probabilistic program induction. Science, 350 (6266), 1332–1338.

Lake, B. M., Ullman, T. D., Tenenbaum, J. B., and Gershman, S. J. (2017). Building machines that learn and think like people. Behavioral and Brain Sciences, 40, e253.

Landau, B., Gleitman, H., and Spelke, E. (1981). Spatial knowledge and geometric representation in a child blind from birth. Science, 213 (4513), 1275–1278.

Lane, C., Kanjlia, S., Omaki, A., and Bedny, M. (2015). “Visual” cortex of congenitally blind adults responds to syntactic movement. Journal of Neuroscience, 35 (37), 12859–12868.

Langston, R. F., Ainge, J. A., Couey, J. J., Canto, C. B., Bjerknes, T. L., Witter, M. P., ...Moser, M.-B. (2010). Development of the spatial representation system in the rat. Science, 328 (5985), 1576–1580.

LeCun, Y., Bengio, Y., and Hinton, G. (2015). Deep learning. Nature, 521 (7553), 436–444.

LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86 (11), 2278–2324.

Lefevre, J., and Mangin, J.-F. (2010). A reaction-diffusion model of human brain development. PLOS Computational Biology, 6 (4), e1000749.

Leong, Y. C., Radulescu, A., Daniel, R., DeWoskin, V., and Niv, Y. (2017). Dynamic interaction between reinforcement learning and attention in multidimensional environments. Neuron, 93 (2), 451–463.

Leppanen, P. H., Richardson, U., Pihko, E., Eklund, K. M., Guttorm, T. K., Aro, M., and Lyytinen, H. (2002). Brain responses to changes in speech sound durations differ between infants with and without familial risk for dyslexia. Developmental Neuropsychology, 22 (1), 407–422.

Lerner, Y., Honey, C. J., Silbert, L. J., and Hasson, U. (2011). Topographic mapping of a hierarchy of temporal receptive windows using a narrated story. Journal of Neuroscience, 31 (8), 2906–2915.

Leroy, F., Cai, Q., Bogart, S. L., Dubois, J., Coulon, O., Monzalvo, K., ... Dehaene-Lambertz, G. (2015). New human-specific brain landmark: The depth asymmetry of superior temporal sulcus. Proceedings of the National Academy of Sciences, 112 (4), 1208–1213.

Li, P., Legault, J., and Litcofsky, K. A. (2014). Neuroplasticity as a function of second language learning: Anatomical changes in the human brain. Cortex, 58, 301–324.

Li, S., Lee, K., Zhao, J., Yang, Z., He, S., and Weng, X. (2013). Neural competition as a developmental process: Early hemispheric specialization for word processing delays specialization for face processing. Neuropsychologia, 51 (5), 950–959.

Lillard, A., and Else-Quest, N. (2006). Evaluating Montessori education. Science, 313 (5795), 1893–1894.

Lindsey, R. V., Shroyer, J. D., Pashler, H., and Mozer, M. C. (2014). Improving students’ long-term knowledge retention through personalized review. Psychological Science, 25 (3), 639–647.

Lisman, J., Buzsáki, G., Eichenbaum, H., Nadel, L., Ranganath, C., and Redish, A. D.(2017). Viewpoints: How the hippocampus contributes to memory, navigation and cognition. Nature Neuroscience, 20 (11), 1434–1447.

Liu, S., Ullman, T. D., Tenenbaum, J. B., and Spelke, E. S. (2017). Ten-month-old infants infer the value of goals from the costs of actions. Science, 358 (6366), 1038–1041.

Livingstone, M. S., Vincent, J. L., Arcaro, M. J., Srihasam, K., Schade, P. F., and Savage, T. (2017). Development of the macaque face-patch system. Nature Communications, 8, 14897.

Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116 (1), 75–98.

Lømo, T. (2018). Discovering long-term potentiation (LTP)—recollections and reflections on what came after. Acta Physiologica, 222 (2), e12921.

Louie, K., and Wilson, M. A. (2001). Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron, 29 (1), 145–156.

Lyons, I. M., and Beilock, S. L. (2012). When math hurts: Math anxiety predicts pain network activation in anticipation of doing math. PLOS ONE, 7 (10), e48076.

Lyons, K. E., and Ghetti, S. (2011). The development of uncertainty monitoring in early childhood. Child Development, 82 (6), 1778–1787.

Lyytinen, H., Ahonen, T., Eklund, K., Guttorm, T., Kulju, P., Laakso, M. L., ...Viholainen, H. (2004). Early development of children at familial risk for dyslexia—follow-up from birth to school age. Dyslexia, 10 (3), 146–178.

Ma, L., and Xu, F. (2013). Preverbal infants infer intentional agents from the perception of regularity. Developmental Psychology, 49 (7), 1330–1337.

Mack, A., and Rock, I. (1998). Inattentional blindness. Cambridge, MA: MIT Press.

Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S., and Frith, C. D. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences, 97 (8), 4398–4403.

Maguire, E. A., Spiers, H. J., Good, C. D., Hartley, T., Frackowiak, R. S., and Burgess, N. (2003). Navigation expertise and the human hippocampus: A structural brain imaging analysis. Hippocampus, 13 (2), 250–259.

Mahmoudzadeh, M., Dehaene-Lambertz, G., Fournier, M., Kongolo, G., Goudjil, S., Dubois, J., ... Wallois, F. (2013). Syllabic discrimination in premature human infants prior to complete formation of cortical layers. Proceedings of the National Academy of Sciences, 110 (12), 4846–4851.

Mahon, B. Z., Anzellotti, S., Schwarzbach, J., Zampini, M., and Caramazza, A. (2009). Category-specific organization in the human brain does not require visual experience. Neuron, 63 (3), 397–405.

Maloney, E. A., and Beilock, S. L. (2012). Math anxiety: Who has it, why it develops, and how to guard against it. Trends in Cognitive Sciences, 16 (8), 404–406.

Markman, E. M., and Wachtel, G. F. (1988). Children’s use of mutual exclusivity to constrain the meanings of words. Cognitive Psychology, 20 (2), 121–157.

Markman, E. M., Wasow, J. L., and Hansen, M. B. (2003). Use of the mutual exclusivity assumption by young word learners. Cognitive Psychology, 47 (3), 241–275.

Marois, R., and Ivanoff, J. (2005). Capacity limits of information processing in the brain. Trends in Cognitive Sciences, 9 (6), 296–305.

Marques, J. F., and Dehaene, S. (2004). Developing intuition for prices in euros: Rescaling or relearning prices? Journal of Experimental Psychology: Applied, 10 (3), 148–155.

Marshall, C. (2017). Montessori education: A review of the evidence base. npj Science of Learning, 2 (1), 11.

Marshall, L., Helgadóttir, H., Mölle, M., and Born, J. (2006). Boosting slow oscillations during sleep potentiates memory. Nature, 444 (7119), 610–613.

Marti, S., King, J.-R., and Dehaene, S. (2015). Time-resolved decoding of two processing chains during dual-task interference. Neuron, 88 (6), 1297–1307.

Marti, S., Sigman, M., and Dehaene, S. (2012). A shared cortical bottleneck underlying attentional blink and psychological refractory period. NeuroImage, 59 (3), 2883–2898.

Martin, S. L., Ramey, C. T., and Ramey, S. (1990). The prevention of intellectual impairment in children of impoverished families: Findings of a randomized trial of educational day care. American Journal of Public Health, 80 (7), 844–847.

Maye, J., Werker, J. F., and Gerken, L. (2002). Infant sensitivity to distributional information can affect phonetic discrimination. Cognition, 82 (3), B101–B111.

Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59 (1), 14–19.

McCandliss, B. D., Fiez, J. A., Protopapas, A., Conway, M., and McClelland, J. L. (2002). Success and failure in teaching the [r]-[l] contrast to Japanese adults: Tests of a Hebbian model of plasticity and stabilization in spoken language perception. Cognitive, Affective, and Behavioral Neuroscience, 2 (2), 89–108.

McCloskey, M., and Rapp, B. (2000). A visually based developmental reading deficit. Journal of Memory and Language, 43 (2), 157–181.

McCrink, K., and Wynn, K. (2004). Large-number addition and subtraction by 9-month-old infants. Psychological Science, 15 (11), 776–781.

Mehler, J., Jusczyk, P., Lambertz, G., Halsted, N., Bertoncini, J., and Amiel-Tison, C.(1988). A precursor of language acquisition in young infants. Cognition, 29 (2), 143–178.

Meyer, T., and Olson, C. R. (2011). Statistical learning of visual transitions in monkey inferotemporal cortex. Proceedings of the National Academy of Sciences, 108 (48), 19401–19406.

Meyniel, F., and Dehaene, S. (2017). Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proceedings of the National Academy of Sciences, 114 (19), E3859–E3868.

Millum, J., and Emanuel, E. J. (2007). The ethics of international research with abandoned children. Science, 318 (5858), 1874–1875.

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., ...Hassabis, D. (2015). Human-level control through deep reinforcement learning. Nature, 518 (7540), 529–533.

Mongelli, V., Dehaene, S., Vinckier, F., Peretz, I., Bartolomeo, P., and Cohen, L. (2017). Music and words in the visual cortex: The impact of musical expertise. Cortex, 86, 260–274.

Mongillo, G., Barak, O., and Tsodyks, M. (2008). Synaptic theory of working memory. Science, 319 (5869), 1543–1546.

Monzalvo, K., Fluss, J., Billard, C., Dehaene, S., and Dehaene-Lambertz, G. (2012). Cortical networks for vision and language in dyslexic and normal children of variable socio-economic status. NeuroImage, 61 (1), 258–274.

Morais, J. (2017). Literacy and democracy. Language, Cognition and Neuroscience, 33 (3), 351–372.

Morais, J., Bertelson, P., Cary, L., and Alegria, J. (1986). Literacy training and speech segmentation. Cognition, 24 (1–2), 45–64.

Morais, J., and Kolinsky, R. (2005). Literacy and cognitive change. In M. J. Snowling and C. Hulme (Eds.), The science of reading: A handbook (pp. 188–203). Oxford: Blackwell.

Moreno, S., Bialystok, E., Barac, R., Schellenberg, E. G., Cepeda, N. J., and Chau, T.(2011). Short-term music training enhances verbal intelligence and executive function. Psychological Science, 22 (11), 1425–1433.

Morrison, C. M., and Ellis, A. W. (1995). Roles of word frequency and age of acquisition in word naming and lexical decision. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21 (1), 116–133.

Morton, J., and Johnson, M. H. (1991). CONSPEC and CONLERN: A two-process theory of infant face recognition. Psychological Review, 98 (2), 164–181.

Moyer, R. S., and Landauer, T. K. (1967). Time required for judgements of numerical inequality. Nature, 215 (5109), 1519–1520.

Muckli, L., Naumer, M. J., and Singer, W. (2009). Bilateral visual field maps in a patient with only one hemisphere. Proceedings of the National Academy of Sciences, 106 (31), 13034–13039.

Musso, M., Moro, A., Glauche, V., Rijntjes, M., Reichenbach, J., Buchel, C., and Weiller, C. (2003). Broca’s area and the language instinct. Nature Neuroscience, 6 (7), 774–781.

Naatanen, R., Paavilainen, P., Rinne, T., and Alho, K. (2007). The mismatch negativity(MMN) in basic research of central auditory processing: A review. Clinical Neurophysiology, 118 (12), 2544–2590.

Nabokov, V. (1962). Pale fire. New York, NY: Putnam.

National Institute of Child Health and Human Development. (2000). Report of the National Reading Panel: Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction (NIH publication no. 00-4769). Washington, DC: US Government Printing Office.

Nau, M., Navarro Schröder, T., Bellmund, J. L. S., and Doeller, C. F. (2018). Hexadirectional coding of visual space in human entorhinal cortex. Nature Neuroscience, 21 (2), 188–190.

Nelson, C. A., Zeanah, C. H., Fox, N. A., Marshall, P. J., Smyke, A. T., and Guthrie, D.(2007). Cognitive recovery in socially deprived young children: The Bucharest Early Intervention Project. Science, 318 (5858), 1937–1940.

Nelson, M. J., El Karoui, I., Giber, K., Yang, X., Cohen, L., Koopman, H., ... Dehaene, S. (2017). Neurophysiological dynamics of phrase-structure building during sentence processing. Proceedings of the National Academy of Sciences, 114 (18), E3669–E3678.

Nemmi, F., Helander, E., Helenius, O., Almeida, R., Hassler, M., Räsänen, P., and Klingberg, T. (2016). Behavior and neuroimaging at baseline predict individual response to combined mathematical and working memory training in children. Developmental Cognitive Neuroscience, 20, 43–51.

Ngo, H.-V. V., Martinetz, T., Born, J., and Mölle, M. (2013). Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron, 78 (3), 545–553.

Nieder, A., and Dehaene, S. (2009). Representation of number in the brain. Annual Review of Neuroscience, 32, 185–208.

Niogi, S. N., and McCandliss, B. D. (2006). Left lateralized white matter microstructure accounts for individual differences in reading ability and disability. Neuropsychologia, 44 (11), 2178–2188.

Noble, K. G., Norman, M. F., and Farah, M. J. (2005). Neurocognitive correlates of socioeconomic status in kindergarten children. Developmental Science, 8 (1), 74–87.

Norimoto, H., Makino, K., Gao, M., Shikano, Y., Okamoto, K., Ishikawa, T., ... Ikegaya, Y.(2018). Hippocampal ripples down-regulate synapses. Science, 359 (6383), 1524–1527.

Obayashi, S., Suhara, T., Kawabe, K., Okauchi, T., Maeda, J., Akine, Y., ... Iriki, A.(2001). Functional brain mapping of monkey tool use. NeuroImage, 14 (4), 853–861.

Oechslin, M. S., Gschwind, M., and James, C. E. (2018). Tracking training-related plasticity by combining fMRI and DTI: The right hemisphere ventral stream mediates musical syntax processing. Cerebral Cortex, 28 (4), 1209–1218.

Olah, C., Mordvintsev, A., and Schubert, L. (2017). Feature visualization. Distill. doi.org/10.23915/distill.00007.

Olesen, P. J., Westerberg, H., and Klingberg, T. (2004). Increased prefrontal and parietal activity after training of working memory. Nature Neuroscience, 7 (1), 75–79.

Orbán, G., Berkes, P., Fiser, J., and Lengyel, M. (2016). Neural variability and sampling-based probabilistic representations in the visual cortex. Neuron, 92 (2), 530–543.

Paller, K. A., McCarthy, G., and Wood, C. C. (1988). ERPs predictive of subsequent recall and recognition performance. Biological Psychology, 26 (1–3), 269–276.

Pallier, C., Dehaene, S., Poline, J.-B., Le Bihan, D., Argenti, A. M., Dupoux, E., and Mehler, J. (2003). Brain imaging of language plasticity in adopted adults: Can a second language replace the first? Cerebral Cortex, 13 (2), 155–161.

Pallier, C., Devauchelle, A. D., and Dehaene, S. (2011). Cortical representation of the constituent structure of sentences. Proceedings of the National Academy of Sciences, 108 (6), 2522–2527.

Palminteri, S., Kilford, E. J., Coricelli, G., and Blakemore, S.-J. (2016). The computational development of reinforcement learning during adolescence. PLOS Computational Biology, 12 (6), e1004953.

Pashler, H., McDaniel, M., Rohrer, D., and Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9 (3), 105–119.

Pegado, F., Comerlato, E., Ventura, F., Jobert, A., Nakamura, K., Buiatti, M., ... Dehaene, S. (2014). Timing the impact of literacy on visual processing. Proceedings of the National Academy of Sciences, 111 (49), E5233–E5242.

Pegado, F., Nakamura, K., Braga, L. W., Ventura, P., Nunes Filho, G., Pallier, C., ...Dehaene, S. (2014). Literacy breaks mirror invariance for visual stimuli: A behavioral study with adult illiterates. Journal of Experimental Psychology: General, 143 (2), 887–894.

Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., ... Maquet, P.(2004). Are spatial memories strengthened in the human hippocampus during slow wave sleep? Neuron, 44 (3), 535–545.

Pena, M., Werker, J. F., and Dehaene-Lambertz, G. (2012). Earlier speech exposure does not accelerate speech acquisition. Journal of Neuroscience, 32 (33), 11159–11163.

Penn, D. C., Holyoak, K. J., and Povinelli, D. J. (2008). Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences, 31 (2), 109–130; discussion 130–178.

Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., and Frith, C. D. (2006). Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature, 442 (7106), 1042–1045.

Piantadosi, S. T., Jara-Ettinger, J., and Gibson, E. (2014). Children’s learning of number words in an indigenous farming-foraging group. Developmental Science, 17 (4), 553–563.

Piantadosi, S. T., Tenenbaum, J. B., and Goodman, N. D. (2012). Bootstrapping in a language of thought: A formal model of numerical concept learning. Cognition, 123 (2), 199–217.

Piantadosi, S. T., Tenenbaum, J. B., and Goodman, N. D. (2016). The logical primitives of thought: Empirical foundations for compositional cognitive models. Psychological Review, 123 (4), 392–424.

Piazza, M., De Feo, V., Panzeri, S., and Dehaene, S. (2018). Learning to focus on number. Cognition, 181, 35–45.

Piazza, M., Facoetti, A., Trussardi, A. N., Berteletti, I., Conte, S., Lucangeli, D., ...Zorzi, M. (2010). Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia. Cognition, 116 (1), 33–41.

Piazza, M., Izard, V., Pinel, P., Le Bihan, D., and Dehaene, S. (2004). Tuning curves for approximate numerosity in the human intraparietal sulcus. Neuron, 44 (3), 547–555.

Piazza, M., Pica, P., Izard, V., Spelke, E. S., and Dehaene, S. (2013). Education enhances the acuity of the nonverbal approximate number system. Psychological Science, 24 (6), 1037–1043.

Pica, P., Lemer, C., Izard, V., and Dehaene, S. (2004). Exact and approximate arithmetic in an Amazonian indigene group. Science, 306 (5695), 499–503.

Pierce, L. J., Klein, D., Chen, J.-K., Delcenserie, A., and Genesee, F. (2014). Mapping the unconscious maintenance of a lost first language. Proceedings of the National Academy of Sciences, 111 (48), 17314–17319.

Pinheiro-Chagas, P., Dotan, D., Piazza, M., and Dehaene, S. (2017). Finger tracking reveals the covert stages of mental arithmetic. Open Mind, 1 (1), 30–41.

Pittenger, C., and Kandel, E. R. (2003). In search of general mechanisms for long-lasting plasticity: Aplysia and the hippocampus. Philosophical Transactions of the Royal Society B: Biological Sciences, 358 (1432), 757–763.

Poirel, N., Borst, G., Simon, G., Rossi, S., Cassotti, M., Pineau, A., and Houdé, O. (2012). Number conservation is related to children’s prefrontal inhibitory control: An fMRI study of a Piagetian task. PLOS ONE, 7 (7), e40802.

Poo, M.-M., Pignatelli, M., Ryan, T. J., Tonegawa, S., Bonhoeffer, T., Martin, K. C., ...Stevens, C. (2016). What is memory? The present state of the engram. BMC Biology, 14, 40.

Posner, M. I. (1994). Attention: The mechanisms of consciousness. Proceedings of the National Academy of Sciences, 91 (16), 7398–7403.

Posner, M. I., and Rothbart, M. K. (1998). Attention, self-regulation and consciousness. Philosophical Transactions of the Royal Society B: Biological Sciences, 353 (1377), 1915–1927.

Prado, E. L., and Dewey, K. G. (2014). Nutrition and brain development in early life. Nutrition Reviews, 72 (4), 267–284.

Prehn-Kristensen, A., Munz, M., Göder, R., Wilhelm, I., Korr, K., Vahl, W., ... Baving, L. (2014). Transcranial oscillatory direct current stimulation during sleep improves declarative memory consolidation in children with attention-deficit/hyperactivity disorder to a level comparable to healthy controls. Brain Stimulation, 7 (6), 793–799.

Qin, S., Cho, S., Chen, T., Rosenberg-Lee, M., Geary, D. C., and Menon, V. (2014). Hippocampal-neocortical functional reorganization underlies children’s cognitive development. Nature Neuroscience, 17 (9), 1263–1269.

Quartz, S. R., and Sejnowski, T. J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20 (4), 537–556; discussion 556–596.

Rakic, P., Bourgeois, J. P., Eckenhoff, M. F., Zecevic, N., and Goldman-Rakic, P. S.(1986). Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex. Science, 232 (4747), 232–235.

Ramanathan, D. S., Gulati, T., and Ganguly, K. (2015). Sleep-dependent reactivation of ensembles in motor cortex promotes skill consolidation. PLOS Biology, 13 (9), e1002263.

Ramirez, S., Liu, X., Lin, P.-A., Suh, J., Pignatelli, M., Redondo, R. L., ... Tonegawa, S.(2013). Creating a false memory in the hippocampus. Science, 341 (6144), 387–391.

Ramirez, S., Liu, X., MacDonald, C. J., Moffa, A., Zhou, J., Redondo, R. L., and Tonegawa, S. (2015). Activating positive memory engrams suppresses depression-like behaviour. Nature, 522 (7556), 335–339.

Rankin, C. H. (2004). Invertebrate learning: What can’t a worm learn? Current Biology, 14 (15), R617–R618.

Rasch, B., Büchel, C., Gais, S., and Born, J. (2007). Odor cues during slow-wave sleep prompt declarative memory consolidation. Science, 315 (5817), 1426–1429.

Rasmussen, A., Jirenhed, D. A., and Hesslow, G. (2008). Simple and complex spike firing patterns in Purkinje cells during classical conditioning. Cerebellum, 7 (4), 563–566.

Rattan, A., Savani, K., Chugh, D., and Dweck, C. S. (2015). Leveraging mindsets to promote academic achievement: Policy recommendations. Perspectives on Psychological Science, 10 (6), 721–726.

Reich, L., Szwed, M., Cohen, L., and Amedi, A. (2011). A ventral visual stream reading center independent of visual experience. Current Biology, 21 (5), 363–368.

Reid, V. M., Dunn, K., Young, R. J., Amu, J., Donovan, T., and Reissland, N. (2017). The human fetus preferentially engages with face-like visual stimuli. Current Biology, 27 (12), 1825–1828.

Rescorla, R. A., and Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A. H. Black and W. F. Prokasy (Eds.), Classical conditioning II: Current research and theory (pp. 64–99). New York, NY: Appleton-Century-Crofts.

Ribeiro, S., Goyal, V., Mello, C. V., and Pavlides, C. (1999). Brain gene expression during REM sleep depends on prior waking experience. Learning and Memory, 6 (5), 500–508.

Ritchie, S. J., and Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological Science, 29 (8), 1358–1369.

Rivera, S. M., Reiss, A. L., Eckert, M. A., and Menon, V. (2005). Developmental changes in mental arithmetic: Evidence for increased functional specialization in the left inferior parietal cortex. Cerebral Cortex, 15 (11), 1779–1790.

Robey, A. M., Dougherty, M. R., and Buttaccio, D. R. (2017). Making retrospective confidence judgments improves learners’ ability to decide what not to study. Psychological Science, 28 (11), 1683–1693.

Roediger, H. L., and Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17 (3), 249–255.

Rohrer, D., and Taylor, K. (2006). The effects of overlearning and distributed practise on the retention of mathematics knowledge. Applied Cognitive Psychology, 20 (9), 1209–1224.

Rohrer, D., and Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35 (6), 481–498.

Romeo, R. R., Leonard, J. A., Robinson, S. T., West, M. R., Mackey, A. P., Rowe, M. L., and Gabrieli, J. D. E. (2018). Beyond the 30-million-word gap: Children’s conversational exposure is associated with language-related brain function. Psychological Science, 29 (5), 700–710.

Rouault, M., and Koechlin, E. (2018). Prefrontal function and cognitive control: From action to language. Current Opinion in Behavioral Sciences, 21, 106–111.

Rudoy, J. D., Voss, J. L., Westerberg, C. E., and Paller, K. A. (2009). Strengthening individual memories by reactivating them during sleep. Science, 326 (5956), 1079.

Rueckl, J. G., Paz-Alonso, P. M., Molfese, P. J., Kuo, W.-J., Bick, A., Frost, S. J., ... Frost, R. (2015). Universal brain signature of proficient reading: Evidence from four contrasting languages. Proceedings of the National Academy of Sciences, 112 (50), 15510–15515.

Rueda, M. R., Rothbart, M. K., McCandliss, B. D., Saccomanno, L., and Posner, M. I.(2005). Training, maturation, and genetic influences on the development of executive attention. Proceedings of the National Academy of Sciences, 102 (41), 14931–14936.

Rugani, R., Fontanari, L., Simoni, E., Regolin, L., and Vallortigara, G. (2009). Arithmetic in newborn chicks. Proceedings of the Royal Society B: Biological Sciences, 276 (1666), 2451–2460.

Rugani, R., Vallortigara, G., Priftis, K., and Regolin, L. (2015). Number-space mapping in the newborn chick resembles humans’ mental number line. Science, 347 (6221), 534–536.

Sabbah, N., Authié, C. N., Sanda, N., Mohand-Saïd, S., Sahel, J.-A., Safran, A. B., ...Amedi, A. (2016). Increased functional connectivity between language and visually deprived areas in late and partial blindness. NeuroImage, 136, 162–173.

Sackur, J., and Dehaene, S. (2009). The cognitive architecture for chaining of two mental operations. Cognition, 111 (2), 187–211.

Sadtler, P. T., Quick, K. M., Golub, M. D., Chase, S. M., Ryu, S. I., Tyler-Kabara, E. C., ... Batista, A. P. (2014). Neural constraints on learning. Nature, 512 (7515), 423–426.

Saffran, J. R., Aslin, R. N., and Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274 (5294), 1926–1928.

Sakai, T., Mikami, A., Tomonaga, M., Matsui, M., Suzuki, J., Hamada, Y., ... Matsuzawa, T. (2011). Differential prefrontal white matter development in chimpanzees and humans. Current Biology, 21 (16), 1397–1402.

Salimpoor, V. N., van den Bosch, I., Kovacevic, N., McIntosh, A. R., Dagher, A., and Zatorre, R. J. (2013). Interactions between the nucleus accumbens and auditory cortices predict music reward value. Science, 340 (6129), 216–219.

Samson, D. R., and Nunn, C. L. (2015). Sleep intensity and the evolution of human cognition. Evolutionary Anthropology, 24 (6), 225–237.

Sangrigoli, S., Pallier, C., Argenti, A.-M., Ventureyra, V. A. G., and de Schonen, S.(2005). Reversibility of the other-race effect in face recognition during childhood. Psychological Science, 16 (6), 440–444.

Saygin, Z. M., Norton, E. S., Osher, D. E., Beach, S. D., Cyr, A. B., Ozernov-Palchik, O., ... Gabrieli, J. D. E. (2013). Tracking the roots of reading ability: White matter volume and integrity correlate with phonological awareness in prereading and early-reading kindergarten children. Journal of Neuroscience, 33 (33), 13251–13258.

Saygin, Z. M., Osher, D. E., Koldewyn, K., Reynolds, G., Gabrieli, J. D., and Saxe, R. R.(2012). Anatomical connectivity patterns predict face selectivity in the fusiform gyrus. Nature Neuroscience, 15 (2), 321–327.

Saygin, Z. M., Osher, D. E., Norton, E. S., Youssoufian, D. A., Beach, S. D., Feather, J., ...Kanwisher, N. (2016). Connectivity precedes function in the development of the visual word form area. Nature Neuroscience, 19 (9), 1250–1255.

Schapiro, A. C., Turk-Browne, N. B., Norman, K. A., and Botvinick, M. M. (2016). Statistical learning of temporal community structure in the hippocampus. Hippocampus, 26 (1), 3–8.

Schlaug, G., Jancke, L., Huang, Y., Staiger, J. F., and Steinmetz, H. (1995). Increased corpus callosum size in musicians. Neuropsychologia, 33 (8), 1047–1055.

Schmidt, R. A., and Bjork, R. A. (1992). New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3 (4), 207–217.

Schoenemann, P. T., Sheehan, M. J., and Glotzer, L. D. (2005). Prefrontal white matter volume is disproportionately larger in humans than in other primates. Nature Neuroscience, 8 (2), 242–252.

Schultz, W., Dayan, P., and Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275 (5306), 1593–1599.

Schweinhart, L. J. (1993). Significant benefits: The High/Scope Perry Preschool study through age 27. Monographs of the High/Scope Educational Research Foundation, no. ten. Education Resources Information Center.

Sederberg, P. B., Kahana, M. J., Howard, M. W., Donner, E. J., and Madsen, J. R. (2003). Theta and gamma oscillations during encoding predict subsequent recall. Journal of Neuroscience, 23 (34), 10809–10814.

Sederberg, P. B., Schulze-Bonhage, A., Madsen, J. R., Bromfield, E. B., McCarthy, D. C.,Brandt, A., ... Kahana, M. J. (2006). Hippocampal and neocortical gamma oscillations predict memory formation in humans. Cerebral Cortex, 17 (5), 1190–1196.

Seehagen, S., Konrad, C., Herbert, J. S., and Schneider, S. (2015). Timely sleep facilitates declarative memory consolidation in infants. Proceedings of the National Academy of Sciences, 112 (5), 1625–1629.

Seitz, A., Lefebvre, C., Watanabe, T., and Jolicoeur, P. (2005). Requirement for highlevel processing in subliminal learning. Current Biology, 15 (18), R753–R755.

Senghas, A., Kita, S., and Özyürek, A. (2004). Children creating core properties of language: Evidence from an emerging sign language in Nicaragua. Science, 305 (5691), 1779–1782.

Sergent, C., Baillet, S., and Dehaene, S. (2005). Timing of the brain events underlying access to consciousness during the attentional blink. Nature Neuroscience, 8 (10), 1391–1400.

Shah, P. E., Weeks, H. M., Richards, B., and Kaciroti, N. (2018). Early childhood curiosity and kindergarten reading and math academic achievement. Pediatric Research, 84 (3), 380–386.

Shatz, C. J. (1996). Emergence of order in visual system development. Proceedings of the National Academy of Sciences, 93 (2), 602–608.

Shaywitz, S. E., Escobar, M. D., Shaywitz, B. A., Fletcher, J. M., and Makuch, R. (1992). Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. New England Journal of Medicine, 326 (3), 145–150.

Sheese, B. E., Rothbart, M. K., Posner, M. I., White, L. K., and Fraundorf, S. H. (2008). Executive attention and self-regulation in infancy. Infant Behavior and Development, 31 (3), 501–510.

Sheridan, M. A., Fox, N. A., Zeanah, C. H., McLaughlin, K. A., and Nelson, C. A. (2012). Variation in neural development as a result of exposure to institutionalization early in childhood. Proceedings of the National Academy of Sciences, 109 (32), 12927–12932.

Shi, R., and Lepage, M. (2008). The effect of functional morphemes on word segmentation in preverbal infants. Developmental Science, 11 (3), 407–413.

Shipston-Sharman, O., Solanka, L., and Nolan, M. F. (2016). Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions. Journal of Physiology, 594 (22), 6547–6557.

Shneidman, L. A., Arroyo, M. E., Levine, S. C., and Goldin-Meadow, S. (2013). What counts as effective input for word learning? Journal of Child Language, 40 (3), 672–686.

Shneidman, L. A., and Goldin-Meadow, S. (2012). Language input and acquisition in a Mayan village: How important is directed speech? Developmental Science, 15 (5), 659–673.

Shohamy, D., and Turk-Browne, N. B. (2013). Mechanisms for widespread hippocampal involvement in cognition. Journal of Experimental Psychology: General, 142 (4), 1159–1170.

Siegler, R. S. (1989). Mechanisms of cognitive development. Annual Review of Psychology, 40, 353–379.

Siegler, R. S., and Opfer, J. E. (2003). The development of numerical estimation: Evidence for multiple representations of numerical quantity. Psychological Science, 14 (3), 237–243.

Siegler, R. S., Thompson, C. A., and Schneider, M. (2011). An integrated theory of whole number and fractions development. Cognitive Psychology, 62 (4), 273–296.

Sigman, M., and Dehaene, S. (2008). Brain mechanisms of serial and parallel processing during dual-task performance. Journal of Neuroscience, 28 (30), 7585–7598.

Sigman, M., Pan, H., Yang, Y., Stern, E., Silbersweig, D., and Gilbert, C. D. (2005). Topdown reorganization of activity in the visual pathway after learning a shape identification task. Neuron, 46 (5), 823–835.

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., ...Hassabis, D. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529 (7587), 484–489.

Simons, D. J., and Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 28 (9), 1059–1074.

Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., and Macnamara, B. N. (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science, 29 (4), 549–571.

Skaggs, W. E., and McNaughton, B. L. (1996). Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience. Science, 271 (5257), 1870–1873.

Smaers, J. B., Gómez-Robles, A., Parks, A. N., and Sherwood, C. C. (2017). Exceptional evolutionary expansion of prefrontal cortex in great apes and humans. Current Biology, 27 (5), 714–720.

Spelke, E. S. (2003). What makes us smart? Core knowledge and natural language. In D. Gentner and S. Goldin-Meadow (Eds.), Language in mind: Advances in the study of language and thought (pp. 277–311). Cambridge, MA: MIT Press.

Spencer, S. J., Steele, C. M., and Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35 (1), 4–28.

Spencer-Smith, M., and Klingberg, T. (2015). Benefits of a working memory training program for inattention in daily life: A systematic review and meta-analysis. PLOS ONE, 10 (3), e0119522.

Srihasam, K., Mandeville, J. B., Morocz, I. A., Sullivan, K. J., and Livingstone, M. S.(2012). Behavioral and anatomical consequences of early versus late symbol training in macaques. Neuron, 73 (3), 608–619.

Stahl, A. E., and Feigenson, L. (2015). Observing the unexpected enhances infants’ learning and exploration. Science, 348 (6230), 91–94.

Starkey, P., and Cooper, R. G. (1980). Perception of numbers by human infants. Science, 210 (4473), 1033–1035.

Starkey, P., Spelke, E. S., and Gelman, R. (1990). Numerical abstraction by human infants. Cognition, 36 (2), 97–127.

Steele, C. M., and Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69 (5), 797–811.

Steinhauer, K., and Drury, J. E. (2012). On the early left-anterior negativity (ELAN) in syntax studies. Brain and Language, 120 (2), 135–162.

Stickgold, R. (2005). Sleep-dependent memory consolidation. Nature, 437 (7063), 1272–1278.

Strauss, M., Sitt, J. D., King, J.-R., Elbaz, M., Azizi, L., Buiatti, M., ... Dehaene, S. (2015). Disruption of hierarchical predictive coding during sleep. Proceedings of the National Academy of Sciences, 112 (11), E1353–E1362.

Striem-Amit, E., and Amedi, A. (2014). Visual cortex extrastriate body-selective area activation in congenitally blind people “seeing” by using sounds. Current Biology, 24 (6), 687–692.

Strnad, L., Peelen, M. V., Bedny, M., and Caramazza, A. (2013). Multivoxel pattern analysis reveals auditory motion information in MT+ of both congenitally blind and sighted individuals. PLOS ONE, 8 (4), e63198.

Sun, T., Patoine, C., Abu-Khalil, A., Visvader, J., Sum, E., Cherry, T. J., ... Walsh, C. A.(2005). Early asymmetry of gene transcription in embryonic human left and right cerebral cortex. Science, 308 (5729), 1794–1798.

Sun, Z. Y., Klöppel, S., Rivière, D., Perrot, M., Frackowiak, R., Siebner, H., and Mangin, J.-F. (2012). The effect of handedness on the shape of the central sulcus. NeuroImage, 60 (1), 332–339.

Sur, M., Garraghty, P. E., and Roe, A. W. (1988). Experimentally induced visual projections into auditory thalamus and cortex. Science, 242 (4884), 1437–1441.

Sur, M., and Rubenstein, J. L. R. (2005). Patterning and plasticity of the cerebral cortex. Science, 310 (5749), 805–810.

Sutton, R. S., and Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press.

Szpunar, K. K., Khan, N. Y., and Schacter, D. L. (2013). Interpolated memory tests reduce mind wandering and improve learning of online lectures. Proceedings of the National Academy of Sciences, 110 (16), 6313–6317.

Szwed, M., Dehaene, S., Kleinschmidt, A., Eger, E., Valabregue, R., Amadon, A., and Cohen, L. (2011). Specialization for written words over objects in the visual cortex. NeuroImage, 56 (1), 330–344.

Szwed, M., Qiao, E., Jobert, A., Dehaene, S., and Cohen, L. (2014). Effects of literacy in early visual and occipitotemporal areas of Chinese and French readers. Journal of Cognitive Neuroscience, 26 (3), 459–475.

Szwed, M., Ventura, P., Querido, L., Cohen, L., and Dehaene, S. (2012). Reading acquisition enhances an early visual process of contour integration. Developmental Science, 15 (1), 139–149.

Takeuchi, T., Duszkiewicz, A. J., and Morris, R. G. M. (2014). The synaptic plasticity and memory hypothesis: Encoding, storage and persistence. Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1633), 20130288.

Tenenbaum, J. B., Kemp, C., Griffiths, T. L., and Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331 (6022), 1279–1285.

Terrace, H. S., Petitto, L. A., Sanders, R. J., and Bever, T. G. (1979). Can an ape create a sentence? Science, 206 (4421), 891–902.

Thiebaut de Schotten, M., Cohen, L., Amemiya, E., Braga, L. W., and Dehaene, S.(2014). Learning to read improves the structure of the arcuate fasciculus. Cerebral Cortex, 24 (4), 989–995.

Thornton, A., and McAuliffe, K. (2006). Teaching in wild meerkats. Science, 313 (5784), 227–229.

Todorovic, A., and de Lange, F. P. (2012). Repetition suppression and expectation suppression are dissociable in time in early auditory evoked fields. Journal of Neuroscience, 32 (39), 13389–13395.

Tombu, M., and Jolicoeur, P. (2004). Virtually no evidence for virtually perfect timesharing. Journal of Experimental Psychology: Human Perception and Performance, 30 (5), 795–810.

Uhrig, L., Dehaene, S., and Jarraya, B. (2014). A hierarchy of responses to auditory regularities in the macaque brain. Journal of Neuroscience, 34 (4), 1127–1132.

van Kerkoerle, T., Self, M. W., and Roelfsema, P. R. (2017). Layer-specificity in the effects of attention and working memory on activity in primary visual cortex. Nature Communications, 8, 13804.

van Praag, H., Kempermann, G., and Gage, F. H. (2000). Neural consequences of environmental enrichment. Nature Reviews Neuroscience, 1 (3), 191–198.

van Vugt, B., Dagnino, B., Vartak, D., Safaai, H., Panzeri, S., Dehaene, S., and Roelfsema, P. R. (2018). The threshold for conscious report: Signal loss and response bias in visual and frontal cortex. Science, 360 (6388), 537–542.

Ventura, P., Fernandes, T., Cohen, L., Morais, J., Kolinsky, R., and Dehaene, S. (2013). Literacy acquisition reduces the influence of automatic holistic processing of faces and houses. Neuroscience Letters, 554, 105–109.

Vinckier, F., Dehaene, S., Jobert, A., Dubus, J. P., Sigman, M., and Cohen, L. (2007). Hierarchical coding of letter strings in the ventral stream: Dissecting the inner organization of the visual word-form system. Neuron, 55 (1), 143–156.

Vinckier, F., Naccache, L., Papeix, C., Forget, J., Hahn-Barma, V., Dehaene, S., and Cohen,L. (2006). “What” and “where” in word reading: Ventral coding of written words revealed by parietal atrophy. Journal of Cognitive Neuroscience, 18 (12), 1998–2012.

Viswanathan, P., and Nieder, A. (2013). Neuronal correlates of a visual “sense of number” in primate parietal and prefrontal cortices. Proceedings of the National Academy of Sciences, 110 (27), 11187–11192.

Viswanathan, P., and Nieder, A. (2015). Differential impact of behavioral relevance on quantity coding in primate frontal and parietal neurons. Current Biology, 25 (10), 1259–1269.

Vogel, E. K., and Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428 (6984), 748–751.

Voss, M. W., Vivar, C., Kramer, A. F., and van Praag, H. (2013). Bridging animal and human models of exercise-induced brain plasticity. Trends in Cognitive Sciences, 17 (10), 525–544.

Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., and Dehaene, S. (2011). Evidence for a hierarchy of predictions and prediction errors in human cortex. Proceedings of the National Academy of Sciences, 108 (51), 20754–20759.

Waelti, P., Dickinson, A., and Schultz, W. (2001). Dopamine responses comply with basic assumptions of formal learning theory. Nature, 412 (6842), 43–48.

Wagner, A. D., Schacter, D. L., Rotte, M., Koutstaal, W., Maril, A., Dale, A. M., ...Buckner, R. L. (1998). Building memories: Remembering and forgetting of verbal experiences as predicted by brain activity. Science, 281 (5380), 1188–1191.

Wagner, U., Gais, S., Haider, H., Verleger, R., and Born, J. (2004). Sleep inspires insight. Nature, 427 (6972), 352–355.

Walker, M. P., Brakefield, T., Hobson, J. A., and Stickgold, R. (2003). Dissociable stages of human memory consolidation and reconsolidation. Nature, 425 (6958), 616–620.

Walker, M. P., and Stickgold, R. (2004). Sleep-dependent learning and memory consolidation. Neuron, 44 (1), 121–133.

Walker, M. P., Stickgold, R., Alsop, D., Gaab, N., and Schlaug, G. (2005). Sleep-dependent motor memory plasticity in the human brain. Neuroscience, 133 (4), 911–917.

Walker, S. P., Chang, S. M., Powell, C. A., and Grantham-McGregor, S. M. (2005). Effects of early childhood psychosocial stimulation and nutritional supplementation on cognition and education in growth-stunted Jamaican children: Prospective cohort study. Lancet, 366 (9499), 1804–1807.

Wang, L., and Krauzlis, R. J. (2018). Visual selective attention in mice. Current Biology, 28 (5), 676–685.

Wang, L., Uhrig, L., Jarraya, B., and Dehaene, S. (2015). Representation of numerical and sequential patterns in macaque and human brains. Current Biology, 25 (15), 1966–1974.

Warneken, F., and Tomasello, M. (2006). Altruistic helping in human infants and young chimpanzees. Science, 311 (5765), 1301–1303.

Watanabe, T., Nanez, J. E., and Sasaki, Y. (2001). Perceptual learning without perception. Nature, 413 (6858), 844–848.

Weber-Fox, C. M., and Neville, H. J. (1996). Maturational constraints on functional specializations for language processing: ERP and behavioral evidence in bilingual speakers. Journal of Cognitive Neuroscience, 8 (3), 231–256.

Werker, J. F., and Hensch, T. K. (2014). Critical periods in speech perception: New directions. Annual Review of Psychology, 66, 173–196.

Werker, J. F., and Tees, R. C. (1984). Cross-language speech perception: Evidence for perceptual reorganization during the first year of life. Infant Behavior and Development, 7 (1), 49–63.

Whitlock, J. R., Heynen, A. J., Shuler, M. G., and Bear, M. F. (2006). Learning induces long-term potentiation in the hippocampus. Science, 313 (5790), 1093–1097.

Widloski, J., and Fiete, I. R. (2014). A model of grid cell development through spatial exploration and spike time-dependent plasticity. Neuron, 83 (2), 481–495.

Wilhelm, I., Rose, M., Imhof, K. I., Rasch, B., Büchel, C., and Born, J. (2013). The sleeping child outplays the adult’s capacity to convert implicit into explicit knowledge. Nature Neuroscience, 16 (4), 391–393.

Wills, T. J., Cacucci, F., Burgess, N., and O’Keefe, J. (2010). Development of the hippocampal cognitive map in preweanling rats. Science, 328 (5985), 1573–1576.

Wilson, M. A., and McNaughton, B. L. (1994). Reactivation of hippocampal ensemble memories during sleep. Science, 265 (5172), 676–679.

Windsor, J., Moraru, A., Nelson, C. A., Fox, N. A., and Zeanah, C. H. (2013). Effect of foster care on language learning at eight years: Findings from the Bucharest Early Intervention Project. Journal of Child Language, 40 (3), 605–627.

Wynn, K. (1992). Addition and subtraction by human infants. Nature, 358, 749–750.

Xu, F., and Garcia, V. (2008). Intuitive statistics by 8-month-old infants. Proceedings of the National Academy of Sciences, 105 (13), 5012–5015.

Xu, F., and Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 114 (2), 245–272.

Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., ... Bengio, Y. (2015). Show, attend and tell: Neural image caption generation with visual attention. arxiv.org/abs/1502.03044.

Yang, C. (2013). Ontogeny and phylogeny of language. Proceedings of the National Academy of Sciences, 110 (16), 6324–6327.

Yoncheva, Y. N., Blau, V. C., Maurer, U., and McCandliss, B. D. (2010). Attentional focus during learning impacts N170 ERP responses to an artificial script. Developmental Neuropsychology, 35 (4), 423–445.

Yoon, J. M. D., Johnson, M. H., and Csibra, G. (2008). Communication-induced memory biases in preverbal infants. Proceedings of the National Academy of Sciences, 105 (36), 13690–13695.

Yoon, K., Buice, M. A., Barry, C., Hayman, R., Burgess, N., and Fiete, I. R. (2013). Specific evidence of low-dimensional continuous attractor dynamics in grid cells. Nature Neuroscience, 16 (8), 1077–1084.

Young, C. B., Wu, S. S., and Menon, V. (2012). The neurodevelopmental basis of math anxiety. Psychological Science, 23 (5), 492–501.

Zaromb, F. M., Karpicke, J. D., and Roediger, H. L. (2010). Comprehension as a basis for metacognitive judgments: Effects of effort after meaning on recall and metacognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36 (2), 552–557.

Zaromb, F. M., and Roediger, H. L. I. (2010). The testing effect in free recall is associated with enhanced organizational processes. Memory and Cognition, 38 (8), 995–1008.

Zhu, X., Wang, F., Hu, H., Sun, X., Kilgard, M. P., Merzenich, M. M., and Zhou, X. (2014). Environmental acoustic enrichment promotes recovery from developmentally degraded auditory cortical processing. Journal of Neuroscience, 34 (16), 5406–5415.

Zoccolotti, P., De Luca, M., Di Pace, E., Gasperini, F., Judica, A., and Spinelli, D. (2005). Word length effect in early reading and in developmental dyslexia. Brain and Language, 93 (3), 369–373.

Zylberberg, A., Dehaene, S., Roelfsema, P. R., and Sigman, M. (2011). The human Turing machine: A neural framework for mental programs. Trends in Cognitive Sciences, 15 (7), 293–300.

第10章　巩固译后记