Temporal pairwise spike correlations fully capture single-neuron information

To understand the neural code it is important to determine what spiking features contain the relevant information. Here, the authors use mathematical approaches to show that two pair-wise correlation functions, the autocorrelation function within spike trains and cross-correlation function across st...

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Autores principales:	Amadeus Dettner, Sabrina Münzberg, Tatjana Tchumatchenko
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/dc9da12052624604b39b2bd3e17f67d0
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id	oai:doaj.org-article:dc9da12052624604b39b2bd3e17f67d0
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spelling	oai:doaj.org-article:dc9da12052624604b39b2bd3e17f67d02021-12-02T15:35:42ZTemporal pairwise spike correlations fully capture single-neuron information10.1038/ncomms138052041-1723https://doaj.org/article/dc9da12052624604b39b2bd3e17f67d02016-12-01T00:00:00Zhttps://doi.org/10.1038/ncomms13805https://doaj.org/toc/2041-1723To understand the neural code it is important to determine what spiking features contain the relevant information. Here, the authors use mathematical approaches to show that two pair-wise correlation functions, the autocorrelation function within spike trains and cross-correlation function across stimulus presentations, fully determine the neural information content.Amadeus DettnerSabrina MünzbergTatjana TchumatchenkoNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Amadeus Dettner Sabrina Münzberg Tatjana Tchumatchenko Temporal pairwise spike correlations fully capture single-neuron information
description	To understand the neural code it is important to determine what spiking features contain the relevant information. Here, the authors use mathematical approaches to show that two pair-wise correlation functions, the autocorrelation function within spike trains and cross-correlation function across stimulus presentations, fully determine the neural information content.
format	article
author	Amadeus Dettner Sabrina Münzberg Tatjana Tchumatchenko
author_facet	Amadeus Dettner Sabrina Münzberg Tatjana Tchumatchenko
author_sort	Amadeus Dettner
title	Temporal pairwise spike correlations fully capture single-neuron information
title_short	Temporal pairwise spike correlations fully capture single-neuron information
title_full	Temporal pairwise spike correlations fully capture single-neuron information
title_fullStr	Temporal pairwise spike correlations fully capture single-neuron information
title_full_unstemmed	Temporal pairwise spike correlations fully capture single-neuron information
title_sort	temporal pairwise spike correlations fully capture single-neuron information
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/dc9da12052624604b39b2bd3e17f67d0
work_keys_str_mv	AT amadeusdettner temporalpairwisespikecorrelationsfullycapturesingleneuroninformation AT sabrinamunzberg temporalpairwisespikecorrelationsfullycapturesingleneuroninformation AT tatjanatchumatchenko temporalpairwisespikecorrelationsfullycapturesingleneuroninformation
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Temporal pairwise spike correlations fully capture single-neuron information

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