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Cell Groups Reveal Structure of Stimulus Space

An important task of the brain is to represent the outside world. It is unclear how the brain may do this, however, as it can only rely on neural responses and has no independent access to external stimuli in order to “decode” what those responses mean. We investigate what can be learned about a spa...

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Detalles Bibliográficos
Autores principales: Curto, Carina, Itskov, Vladimir
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2565599/
https://www.ncbi.nlm.nih.gov/pubmed/18974826
http://dx.doi.org/10.1371/journal.pcbi.1000205
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author Curto, Carina
Itskov, Vladimir
author_facet Curto, Carina
Itskov, Vladimir
author_sort Curto, Carina
collection PubMed
description An important task of the brain is to represent the outside world. It is unclear how the brain may do this, however, as it can only rely on neural responses and has no independent access to external stimuli in order to “decode” what those responses mean. We investigate what can be learned about a space of stimuli using only the action potentials (spikes) of cells with stereotyped—but unknown—receptive fields. Using hippocampal place cells as a model system, we show that one can (1) extract global features of the environment and (2) construct an accurate representation of space, up to an overall scale factor, that can be used to track the animal's position. Unlike previous approaches to reconstructing position from place cell activity, this information is derived without knowing place fields or any other functions relating neural responses to position. We find that simply knowing which groups of cells fire together reveals a surprising amount of structure in the underlying stimulus space; this may enable the brain to construct its own internal representations.
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spelling pubmed-25655992008-10-31 Cell Groups Reveal Structure of Stimulus Space Curto, Carina Itskov, Vladimir PLoS Comput Biol Research Article An important task of the brain is to represent the outside world. It is unclear how the brain may do this, however, as it can only rely on neural responses and has no independent access to external stimuli in order to “decode” what those responses mean. We investigate what can be learned about a space of stimuli using only the action potentials (spikes) of cells with stereotyped—but unknown—receptive fields. Using hippocampal place cells as a model system, we show that one can (1) extract global features of the environment and (2) construct an accurate representation of space, up to an overall scale factor, that can be used to track the animal's position. Unlike previous approaches to reconstructing position from place cell activity, this information is derived without knowing place fields or any other functions relating neural responses to position. We find that simply knowing which groups of cells fire together reveals a surprising amount of structure in the underlying stimulus space; this may enable the brain to construct its own internal representations. Public Library of Science 2008-10-31 /pmc/articles/PMC2565599/ /pubmed/18974826 http://dx.doi.org/10.1371/journal.pcbi.1000205 Text en Curto, Itskov. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Curto, Carina
Itskov, Vladimir
Cell Groups Reveal Structure of Stimulus Space
title Cell Groups Reveal Structure of Stimulus Space
title_full Cell Groups Reveal Structure of Stimulus Space
title_fullStr Cell Groups Reveal Structure of Stimulus Space
title_full_unstemmed Cell Groups Reveal Structure of Stimulus Space
title_short Cell Groups Reveal Structure of Stimulus Space
title_sort cell groups reveal structure of stimulus space
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2565599/
https://www.ncbi.nlm.nih.gov/pubmed/18974826
http://dx.doi.org/10.1371/journal.pcbi.1000205
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