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Representational geometry: integrating cognition, computation, and the brain

The cognitive concept of representation plays a key role in theories of brain information processing. However, linking neuronal activity to representational content and cognitive theory remains challenging. Recent studies have characterized the representational geometry of neural population codes by...

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Detalles Bibliográficos
Autores principales: Kriegeskorte, Nikolaus, Kievit, Rogier A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730178/
https://www.ncbi.nlm.nih.gov/pubmed/23876494
http://dx.doi.org/10.1016/j.tics.2013.06.007
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author Kriegeskorte, Nikolaus
Kievit, Rogier A.
author_facet Kriegeskorte, Nikolaus
Kievit, Rogier A.
author_sort Kriegeskorte, Nikolaus
collection PubMed
description The cognitive concept of representation plays a key role in theories of brain information processing. However, linking neuronal activity to representational content and cognitive theory remains challenging. Recent studies have characterized the representational geometry of neural population codes by means of representational distance matrices, enabling researchers to compare representations across stages of processing and to test cognitive and computational theories. Representational geometry provides a useful intermediate level of description, capturing both the information represented in a neuronal population code and the format in which it is represented. We review recent insights gained with this approach in perception, memory, cognition, and action. Analyses of representational geometry can compare representations between models and the brain, and promise to explain brain computation as transformation of representational similarity structure.
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spelling pubmed-37301782013-08-01 Representational geometry: integrating cognition, computation, and the brain Kriegeskorte, Nikolaus Kievit, Rogier A. Trends Cogn Sci Review The cognitive concept of representation plays a key role in theories of brain information processing. However, linking neuronal activity to representational content and cognitive theory remains challenging. Recent studies have characterized the representational geometry of neural population codes by means of representational distance matrices, enabling researchers to compare representations across stages of processing and to test cognitive and computational theories. Representational geometry provides a useful intermediate level of description, capturing both the information represented in a neuronal population code and the format in which it is represented. We review recent insights gained with this approach in perception, memory, cognition, and action. Analyses of representational geometry can compare representations between models and the brain, and promise to explain brain computation as transformation of representational similarity structure. Elsevier Science 2013-08 /pmc/articles/PMC3730178/ /pubmed/23876494 http://dx.doi.org/10.1016/j.tics.2013.06.007 Text en © 2013 Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Review
Kriegeskorte, Nikolaus
Kievit, Rogier A.
Representational geometry: integrating cognition, computation, and the brain
title Representational geometry: integrating cognition, computation, and the brain
title_full Representational geometry: integrating cognition, computation, and the brain
title_fullStr Representational geometry: integrating cognition, computation, and the brain
title_full_unstemmed Representational geometry: integrating cognition, computation, and the brain
title_short Representational geometry: integrating cognition, computation, and the brain
title_sort representational geometry: integrating cognition, computation, and the brain
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730178/
https://www.ncbi.nlm.nih.gov/pubmed/23876494
http://dx.doi.org/10.1016/j.tics.2013.06.007
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