Топ за месяц!🔥
Книжки » Книги » Домашняя » Как мы учимся. Почему мозг учится лучше, чем любая машина… пока - Станислас Деан 📕 - Книга онлайн бесплатно

Книга Как мы учимся. Почему мозг учится лучше, чем любая машина… пока - Станислас Деан

424
0
На нашем литературном портале можно бесплатно читать книгу Как мы учимся. Почему мозг учится лучше, чем любая машина… пока - Станислас Деан полная версия. Жанр: Книги / Домашняя. Онлайн библиотека дает возможность прочитать весь текст произведения на мобильном телефоне или десктопе даже без регистрации и СМС подтверждения на нашем сайте онлайн книг knizki.com.

Шрифт:

-
+

Интервал:

-
+

Закладка:

Сделать
1 ... 74 75 76 ... 101
Перейти на страницу:
Конец ознакомительного отрывкаКупить и скачать книгу

Ознакомительная версия. Доступно 21 страниц из 101

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

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

Dehaene, S., Dupoux, E., & 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., & Spelke, E. (2006). Core knowledge of geometry in an Amazonian indigene group. Science, 311(5759), 381–384.

Dehaene, S., Izard, V., Spelke, E., & 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., & 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., & 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., & Kouider, S. (2017). What is consciousness, and could machines have it? Science, 358(6362), 486–492.

Dehaene, S., & Marques, J. F. (2002). Cognitive neuroscience: 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., & Pallier, C. (2015). The neural representation of sequences: From transition probabilities to algebraic patterns and linguistic trees. Neuron, 88(1), 2–19.

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

de Lavilléon, G., Lacroix, M. M., Rondi-Reig, L., & 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., & 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., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193–222.

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

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

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

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

Diester, I., & 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., & 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., & Burgess, N. (2010). Evidence for grid cells in a human memory network. Nature, 463(7281), 657–661.

Donato, F., Rompani, S. B., & 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., & 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., & 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.

Ознакомительная версия. Доступно 21 страниц из 101

1 ... 74 75 76 ... 101
Перейти на страницу:

Внимание!

Сайт сохраняет куки вашего браузера. Вы сможете в любой момент сделать закладку и продолжить прочтение книги «Как мы учимся. Почему мозг учится лучше, чем любая машина… пока - Станислас Деан», после закрытия браузера.

Комментарии и отзывы (0) к книге "Как мы учимся. Почему мозг учится лучше, чем любая машина… пока - Станислас Деан"