Decoding the brain's algorithm for categorization from its neural implementation.

ABSTRACT: Acts of cognition can be described at different levels of analysis: what behavior should characterize the act, what algorithms and representations underlie the behavior, and how the algorithms are physically realized in neural activity [1]. Theories that bridge levels of analysis offer more complete explanations by leveraging the constraints present at each level [2-4]. Despite the great potential for theoretical advances, few studies of cognition bridge levels of analysis. For example, formal cognitive models of category decisions accurately predict human decision making [5, 6], but whether model algorithms and representations supporting category decisions are consistent with underlying neural implementation remains unknown. This uncertainty is largely due to the hurdle of forging links b

SUBMITTER: Mack ML 

PROVIDER: S-EPMC3874407 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature