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

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, Fernando Fabián, Rosso, Osvaldo Aníbal, Schultz, Simon R.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Física
neuron populations
discrimination measures
correlations
visual cortex
Jensen-Shannon divergence
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160125
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160125
record_format dspace
spelling I19-R120-10915-1601252023-11-14T20:07:14Z http://sedici.unlp.edu.ar/handle/10915/160125 Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence Montani, Fernando Fabián Rosso, Osvaldo Aníbal Schultz, Simon R. 2007 2023-11-14T14:58:29Z en Física neuron populations discrimination measures correlations visual cortex Jensen-Shannon divergence 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 (VI) 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. XV Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics (Mar del Plata, 4 al 8 de diciembre de 2006) 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 184-189
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
neuron populations
discrimination measures
correlations
visual cortex
Jensen-Shannon divergence
spellingShingle Física
neuron populations
discrimination measures
correlations
visual cortex
Jensen-Shannon divergence
Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Schultz, Simon R.
Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence
topic_facet Física
neuron populations
discrimination measures
correlations
visual cortex
Jensen-Shannon divergence
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 (VI) 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.
format Articulo
Articulo
author Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Schultz, Simon R.
author_facet Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Schultz, Simon R.
author_sort Montani, Fernando Fabián
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://sedici.unlp.edu.ar/handle/10915/160125
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