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From mental representations to neural codes: A multilevel approach

Published online by Cambridge University Press:  28 November 2019

Jon Gauthier
Affiliation:
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, [email protected] [email protected]  [email protected] [email protected]://foldl.me https://joaoloula.github.io/ https://www.elibpollock.com/ https://web.mit.edu/zyzzyva/www/
João Loula
Affiliation:
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, [email protected] [email protected]  [email protected] [email protected]://foldl.me https://joaoloula.github.io/ https://www.elibpollock.com/ https://web.mit.edu/zyzzyva/www/
Eli Pollock
Affiliation:
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, [email protected] [email protected]  [email protected] [email protected]://foldl.me https://joaoloula.github.io/ https://www.elibpollock.com/ https://web.mit.edu/zyzzyva/www/
Tyler Brooke Wilson
Affiliation:
Department of Philosophy, Massachusetts Institute of Technology, Cambridge, MA02139. [email protected]://sites.google.com/site/tylerbrookewilson/
Catherine Wong
Affiliation:
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, [email protected] [email protected]  [email protected] [email protected]://foldl.me https://joaoloula.github.io/ https://www.elibpollock.com/ https://web.mit.edu/zyzzyva/www/

Abstract

Representation and computation are the best tools we have for explaining intelligent behavior. In our program, we explore the space of representations present in the mind by constraining them to explain data at multiple levels of analysis, from behavioral patterns to neural activity. We argue that this integrated program assuages Brette's worries about the study of the neural code.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019

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