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

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 usef...

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Autores principales: Ince, Robin A. A., Montani, Fernando Fabián, Arabzadeh, Ehsan, Diamond, Mathew E., Panzeri, Stefano
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160255
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spelling I19-R120-10915-1602552023-11-16T20:06:52Z http://sedici.unlp.edu.ar/handle/10915/160255 On the presence of high-order interactions among somatosensory neurons and their effect on information transmission Ince, Robin A. A. Montani, Fernando Fabián Arabzadeh, Ehsan Diamond, Mathew E. Panzeri, Stefano 2009 2023-11-16T16:55:20Z en Física Informática Neural Code Neuroscience Spike Correlations somatosensory neurons 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 Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
spellingShingle Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
Ince, Robin A. A.
Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
topic_facet Física
Informática
Neural Code
Neuroscience
Spike Correlations
somatosensory neurons
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.
format Articulo
Articulo
author Ince, Robin A. A.
Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
author_facet Ince, Robin A. A.
Montani, Fernando Fabián
Arabzadeh, Ehsan
Diamond, Mathew E.
Panzeri, Stefano
author_sort Ince, Robin A. A.
title On the presence of high-order interactions among somatosensory neurons and their effect on information transmission
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
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/160255
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