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: CONF
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
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling todo:paper_0094243X_v913_n_p184_Montani2023-10-03T14:56:18Z Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence Montani, F. Rosso, O.A. Schultz, S.R. Correlations Discrimination measures Jensen-Shannon divergence Neuron populations Visual cortex 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p184_Montani
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (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 CONF
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
url http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p184_Montani
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