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Estimating the Amount of Information Conveyed by a Population of Neurons

Recent technological advances have made the simultaneous recording of the activity of many neurons common. However, estimating the amount of information conveyed by the discharge of a neural population remains a significant challenge. Here we describe our recently published analysis method that assi...

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Detalles Bibliográficos
Autores principales: Crumiller, Marshall, Knight, Bruce, Yu, Yunguo, Kaplan, Ehud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139929/
https://www.ncbi.nlm.nih.gov/pubmed/21811435
http://dx.doi.org/10.3389/fnins.2011.00090
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author Crumiller, Marshall
Knight, Bruce
Yu, Yunguo
Kaplan, Ehud
author_facet Crumiller, Marshall
Knight, Bruce
Yu, Yunguo
Kaplan, Ehud
author_sort Crumiller, Marshall
collection PubMed
description Recent technological advances have made the simultaneous recording of the activity of many neurons common. However, estimating the amount of information conveyed by the discharge of a neural population remains a significant challenge. Here we describe our recently published analysis method that assists in such estimates. We describe the key concepts and assumptions on which the method is based, illustrate its use with data from both simulated and real neurons recorded from the lateral geniculate nucleus of a monkey, and show how it can be used to calculate redundancy and synergy among neuronal groups.
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spelling pubmed-31399292011-08-02 Estimating the Amount of Information Conveyed by a Population of Neurons Crumiller, Marshall Knight, Bruce Yu, Yunguo Kaplan, Ehud Front Neurosci Neuroscience Recent technological advances have made the simultaneous recording of the activity of many neurons common. However, estimating the amount of information conveyed by the discharge of a neural population remains a significant challenge. Here we describe our recently published analysis method that assists in such estimates. We describe the key concepts and assumptions on which the method is based, illustrate its use with data from both simulated and real neurons recorded from the lateral geniculate nucleus of a monkey, and show how it can be used to calculate redundancy and synergy among neuronal groups. Frontiers Research Foundation 2011-07-15 /pmc/articles/PMC3139929/ /pubmed/21811435 http://dx.doi.org/10.3389/fnins.2011.00090 Text en Copyright © 2011 Crumiller, Knight, Yu and Kaplan. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Neuroscience
Crumiller, Marshall
Knight, Bruce
Yu, Yunguo
Kaplan, Ehud
Estimating the Amount of Information Conveyed by a Population of Neurons
title Estimating the Amount of Information Conveyed by a Population of Neurons
title_full Estimating the Amount of Information Conveyed by a Population of Neurons
title_fullStr Estimating the Amount of Information Conveyed by a Population of Neurons
title_full_unstemmed Estimating the Amount of Information Conveyed by a Population of Neurons
title_short Estimating the Amount of Information Conveyed by a Population of Neurons
title_sort estimating the amount of information conveyed by a population of neurons
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139929/
https://www.ncbi.nlm.nih.gov/pubmed/21811435
http://dx.doi.org/10.3389/fnins.2011.00090
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