Search results for 'Oleg V. Favorov' (try it on Scholar)

  1. Dan Ryder & Oleg V. Favorov (2001). Empiricist Word Learning. Behavioral and Brain Sciences 24 (6):1117-1117.score: 870.0
    At first, Bloom's theory appears inimical to empiricism, since he credits very young children with highly sophisticated cognitive resources (e.g., a theory of mind and a belief that real kinds have essences), and he also attacks the empiricist's favoured learning theory, namely, associationism. We suggest that, on the contrary, the empiricist can embrace much of what Bloom says.
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  2. Oleg V. Favorov & Dan Ryder, Sinbad: A Neocortical Mechanism for Discovering Environmental Variables and Regularities Hidden in Sensory Input.score: 870.0
    We propose that a top priority of the cerebral cortex must be the discovery and explicit representation of the environmental variables that contribute as major factors to environmental regularities. Any neural representation in which such variables are represented only implicitly (thus requiring extra computing to use them) will make the regularities more complex and therefore more difficult, if not impossible, to learn. The task of discovering such important environmental variables is not an easy one, since their existence is only indirectly (...)
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  3. Dan Ryder & Oleg Favorov (2001). The New Associationism: A Neural Explanation of the Predictive Powers of the Cerebral Cortex. [REVIEW] Brain and Mind 2 (2):161-194.score: 240.0
    The ability to predict is the most importantability of the brain. Somehow, the cortex isable to extract regularities from theenvironment and use those regularities as abasis for prediction. This is a most remarkableskill, considering that behaviourallysignificant environmental regularities are noteasy to discern: they operate not only betweenpairs of simple environmental conditions, astraditional associationism has assumed, butamong complex functions of conditions that areorders of complexity removed from raw sensoryinputs. We propose that the brain's basicmechanism for discovering such complexregularities is implemented in (...)
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