On the presence of high-order interactions among somatosensory neurons and their effect on information transmission

Autores
Ince, Robin A. A.; Montani, Fernando Fabián; Arabzadeh, Ehsan; Diamond, Mathew E.; Panzeri, Stefano
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In order to understand how populations of neurons encode information about external correlates, it is important to develop minimal models of the probability of neural population responses which capture all the salient changes of neural responses with stimuli. In this context, it is particularly useful to determine whether interactions among neurons responding to stimuli can be described by a pairwise interaction model, or whether a higher order interaction model is needed. To address this question, we compared real neural population activity obtained from the rat somatosensory cortex to maximum-entropy models which take into account only interaction of up any given order. By performing these comparisons, we found that interactions of order two were sufficient to explain a large amount of observed stimulus-response distributions, but not all of them. Triple-wise interactions were necessary to fully explain the data. We then used Shannon information to compute the impact of high order correlations on the amount of somatosensory information transmitted by the neural population. We found that correlations of order two gave a good approximation of information carried by the neural population, within 4% of the true value. Third order correlations gave an even better approximation, within 2% of the true value. Taken together, these results suggest that higher order interactions exist and shape the dynamics of cortical networks, but play a quantitatively minor role in determining the information capacity of neural populations.
Facultad de Ciencias Exactas
Materia
Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/160255

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network_name_str SEDICI (UNLP)
spelling On the presence of high-order interactions among somatosensory neurons and their effect on information transmissionInce, Robin A. A.Montani, Fernando FabiánArabzadeh, EhsanDiamond, Mathew E.Panzeri, StefanoFísicaInformáticaNeural CodeNeuroscienceSpike Correlationssomatosensory neuronsIn order to understand how populations of neurons encode information about external correlates, it is important to develop minimal models of the probability of neural population responses which capture all the salient changes of neural responses with stimuli. In this context, it is particularly useful to determine whether interactions among neurons responding to stimuli can be described by a pairwise interaction model, or whether a higher order interaction model is needed. To address this question, we compared real neural population activity obtained from the rat somatosensory cortex to maximum-entropy models which take into account only interaction of up any given order. By performing these comparisons, we found that interactions of order two were sufficient to explain a large amount of observed stimulus-response distributions, but not all of them. Triple-wise interactions were necessary to fully explain the data. We then used Shannon information to compute the impact of high order correlations on the amount of somatosensory information transmitted by the neural population. We found that correlations of order two gave a good approximation of information carried by the neural population, within 4% of the true value. Third order correlations gave an even better approximation, within 2% of the true value. Taken together, these results suggest that higher order interactions exist and shape the dynamics of cortical networks, but play a quantitatively minor role in determining the information capacity of neural populations.Facultad de Ciencias Exactas2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/160255enginfo:eu-repo/semantics/altIdentifier/issn/1742-6588info:eu-repo/semantics/altIdentifier/issn/1742-6596info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/197/1/012013info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:41:57Zoai:sedici.unlp.edu.ar:10915/160255Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:41:57.478SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
title On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
spellingShingle On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
Ince, Robin A. A.
Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
title_short On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
title_full On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
title_fullStr On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
title_full_unstemmed On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
title_sort On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
dc.creator.none.fl_str_mv Ince, Robin A. A.
Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
author Ince, Robin A. A.
author_facet Ince, Robin A. A.
Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
author_role author
author2 Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
author2_role author
author
author
author
dc.subject.none.fl_str_mv Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
topic Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
dc.description.none.fl_txt_mv In order to understand how populations of neurons encode information about external correlates, it is important to develop minimal models of the probability of neural population responses which capture all the salient changes of neural responses with stimuli. In this context, it is particularly useful to determine whether interactions among neurons responding to stimuli can be described by a pairwise interaction model, or whether a higher order interaction model is needed. To address this question, we compared real neural population activity obtained from the rat somatosensory cortex to maximum-entropy models which take into account only interaction of up any given order. By performing these comparisons, we found that interactions of order two were sufficient to explain a large amount of observed stimulus-response distributions, but not all of them. Triple-wise interactions were necessary to fully explain the data. We then used Shannon information to compute the impact of high order correlations on the amount of somatosensory information transmitted by the neural population. We found that correlations of order two gave a good approximation of information carried by the neural population, within 4% of the true value. Third order correlations gave an even better approximation, within 2% of the true value. Taken together, these results suggest that higher order interactions exist and shape the dynamics of cortical networks, but play a quantitatively minor role in determining the information capacity of neural populations.
Facultad de Ciencias Exactas
description In order to understand how populations of neurons encode information about external correlates, it is important to develop minimal models of the probability of neural population responses which capture all the salient changes of neural responses with stimuli. In this context, it is particularly useful to determine whether interactions among neurons responding to stimuli can be described by a pairwise interaction model, or whether a higher order interaction model is needed. To address this question, we compared real neural population activity obtained from the rat somatosensory cortex to maximum-entropy models which take into account only interaction of up any given order. By performing these comparisons, we found that interactions of order two were sufficient to explain a large amount of observed stimulus-response distributions, but not all of them. Triple-wise interactions were necessary to fully explain the data. We then used Shannon information to compute the impact of high order correlations on the amount of somatosensory information transmitted by the neural population. We found that correlations of order two gave a good approximation of information carried by the neural population, within 4% of the true value. Third order correlations gave an even better approximation, within 2% of the true value. Taken together, these results suggest that higher order interactions exist and shape the dynamics of cortical networks, but play a quantitatively minor role in determining the information capacity of neural populations.
publishDate 2009
dc.date.none.fl_str_mv 2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/160255
url http://sedici.unlp.edu.ar/handle/10915/160255
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1742-6588
info:eu-repo/semantics/altIdentifier/issn/1742-6596
info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/197/1/012013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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