Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence

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The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the product of independent distributions from each ce...

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Autores principales:	Montani, F., Rosso, O.A., Schultz, S.R.
Formato:	Documento de conferencia publishedVersion
Publicado:	2007
Materias:	Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p184_Montani https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p184_Montani_oai
Aporte de:	Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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spelling	I28-R145-paper_0094243X_v913_n_p184_Montani_oai2024-08-16 Montani, F. Rosso, O.A. Schultz, S.R. 2007 The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the product of independent distributions from each cell, we used recorded responses of pairs of single neurons in primary visual cortex of macaque monkey (V1) to stimuli of varying orientation. Both trial-to-trial variability and synchrony were found to depend stimulus orientation and contrast in this data set (A. Kohn, and M. A Smith, J. Neurosci. 25 (2005) 3661). We used the Jensen-Shannon Divergence for fixed stimuli as a measure of discrimination between a pairs of correlated cells VI. The Jensen-Shannon divergence, can be consider as a measure distance between the corresponding probability distribution function associated with each spikes fired observed patterns. The Nemenman-Shafee-Bialek estimator was used in our entropy estimation in order to remove all possible bias deviation from our calculations. We found that the relative Jensen-Shannon Divergence (measured in relation to case in which all cell fired completely independently) decreases with respect to the difference in orientation preference between the receptive field from each pair of cells. Our finding indicates that the Jensen-Shannon Divergence may be used for characterizing the effective circuitry network in a population of neurons. © 2007 American Institute of Physics. application/pdf http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p184_Montani info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar AIP Conf. Proc. 2007;913:184-189 Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence info:eu-repo/semantics/conferenceObject info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p184_Montani_oai
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-145
collection	Repositorio Digital de la Universidad de Buenos Aires (UBA)
topic	Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex
spellingShingle	Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex Montani, F. Rosso, O.A. Schultz, S.R. Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
topic_facet	Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex
description	The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the product of independent distributions from each cell, we used recorded responses of pairs of single neurons in primary visual cortex of macaque monkey (V1) to stimuli of varying orientation. Both trial-to-trial variability and synchrony were found to depend stimulus orientation and contrast in this data set (A. Kohn, and M. A Smith, J. Neurosci. 25 (2005) 3661). We used the Jensen-Shannon Divergence for fixed stimuli as a measure of discrimination between a pairs of correlated cells VI. The Jensen-Shannon divergence, can be consider as a measure distance between the corresponding probability distribution function associated with each spikes fired observed patterns. The Nemenman-Shafee-Bialek estimator was used in our entropy estimation in order to remove all possible bias deviation from our calculations. We found that the relative Jensen-Shannon Divergence (measured in relation to case in which all cell fired completely independently) decreases with respect to the difference in orientation preference between the receptive field from each pair of cells. Our finding indicates that the Jensen-Shannon Divergence may be used for characterizing the effective circuitry network in a population of neurons. © 2007 American Institute of Physics.
format	Documento de conferencia Documento de conferencia publishedVersion
author	Montani, F. Rosso, O.A. Schultz, S.R.
author_facet	Montani, F. Rosso, O.A. Schultz, S.R.
author_sort	Montani, F.
title	Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
title_short	Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
title_full	Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
title_fullStr	Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
title_full_unstemmed	Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
title_sort	discrimination measure of correlations in a population of neurons by using the jensen-shannon divergence
publishDate	2007
url	http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p184_Montani https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p184_Montani_oai
work_keys_str_mv	AT montanif discriminationmeasureofcorrelationsinapopulationofneuronsbyusingthejensenshannondivergence AT rossooa discriminationmeasureofcorrelationsinapopulationofneuronsbyusingthejensenshannondivergence AT schultzsr discriminationmeasureofcorrelationsinapopulationofneuronsbyusingthejensenshannondivergence
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Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence

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