Work

Structured cognitive representations and complex inference in neural systems

Year: 2013

Type: conference-paper

Abstract: The dream of cognitive neuroscience has always been a seamless integration of cognitive representations with neural machinery, but---despite decades of work---fundamental gaps remain. Part of the problem is that many contemporary theories of cognition are formulated in terms of representations and computations that are quite different from those used in computational neuroscience. Bridging this gap requires more than simply a translation between theoretical concepts in the two fields; what is needed is a more radical updating of neuroscience's theoretical vocabulary.

Source: MPG.PuRe (Max Planck Society)

Authors: Samuel J. Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew Botvinick, Peter Dayan

Language: English

Topic: Cognitive Science and Education Research

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2408217413

FWCI:

Cites: 12

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Related to: 10