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Estimating the Amount of Information Carried by a Neuronal Population

Although all brain functions require coordinated activity of many neurons, it has been difficult to estimate the amount of information carried by a population of spiking neurons. We present here a Fourier-based method for estimating the information delivery rate from a population of neurons, which a...

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Detalles Bibliográficos
Autores principales: Yu, Yunguo, Crumiller, Marshall, Knight, Bruce, Kaplan, Ehud
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866452/
https://www.ncbi.nlm.nih.gov/pubmed/20461228
http://dx.doi.org/10.3389/fncom.2010.00010
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author Yu, Yunguo
Crumiller, Marshall
Knight, Bruce
Kaplan, Ehud
author_facet Yu, Yunguo
Crumiller, Marshall
Knight, Bruce
Kaplan, Ehud
author_sort Yu, Yunguo
collection PubMed
description Although all brain functions require coordinated activity of many neurons, it has been difficult to estimate the amount of information carried by a population of spiking neurons. We present here a Fourier-based method for estimating the information delivery rate from a population of neurons, which allows us to measure the redundancy of information within and between functional neuronal classes. We illustrate the use of the method on some artificial spike trains and on simultaneous recordings from a small population of neurons from the lateral geniculate nucleus of an anesthetized macaque monkey.
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spelling pubmed-28664522010-05-11 Estimating the Amount of Information Carried by a Neuronal Population Yu, Yunguo Crumiller, Marshall Knight, Bruce Kaplan, Ehud Front Comput Neurosci Neuroscience Although all brain functions require coordinated activity of many neurons, it has been difficult to estimate the amount of information carried by a population of spiking neurons. We present here a Fourier-based method for estimating the information delivery rate from a population of neurons, which allows us to measure the redundancy of information within and between functional neuronal classes. We illustrate the use of the method on some artificial spike trains and on simultaneous recordings from a small population of neurons from the lateral geniculate nucleus of an anesthetized macaque monkey. Frontiers Research Foundation 2010-04-26 /pmc/articles/PMC2866452/ /pubmed/20461228 http://dx.doi.org/10.3389/fncom.2010.00010 Text en Copyright © 2010 Yu, Crumiller, Knight and Kaplan. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Yu, Yunguo
Crumiller, Marshall
Knight, Bruce
Kaplan, Ehud
Estimating the Amount of Information Carried by a Neuronal Population
title Estimating the Amount of Information Carried by a Neuronal Population
title_full Estimating the Amount of Information Carried by a Neuronal Population
title_fullStr Estimating the Amount of Information Carried by a Neuronal Population
title_full_unstemmed Estimating the Amount of Information Carried by a Neuronal Population
title_short Estimating the Amount of Information Carried by a Neuronal Population
title_sort estimating the amount of information carried by a neuronal population
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866452/
https://www.ncbi.nlm.nih.gov/pubmed/20461228
http://dx.doi.org/10.3389/fncom.2010.00010
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