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Order-Based Representation in Random Networks of Cortical Neurons

The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based pr...

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Autores principales: Shahaf, Goded, Eytan, Danny, Gal, Asaf, Kermany, Einat, Lyakhov, Vladimir, Zrenner, Christoph, Marom, Shimon
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2580731/
https://www.ncbi.nlm.nih.gov/pubmed/19023409
http://dx.doi.org/10.1371/journal.pcbi.1000228
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author Shahaf, Goded
Eytan, Danny
Gal, Asaf
Kermany, Einat
Lyakhov, Vladimir
Zrenner, Christoph
Marom, Shimon
author_facet Shahaf, Goded
Eytan, Danny
Gal, Asaf
Kermany, Einat
Lyakhov, Vladimir
Zrenner, Christoph
Marom, Shimon
author_sort Shahaf, Goded
collection PubMed
description The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based primitives of stimulus representation in neuronal networks. Here we show that in spontaneously developing large-scale random networks of cortical neurons in vitro the order in which neurons are recruited following each stimulus is a naturally emerging representation primitive that is invariant to significant temporal changes in spike times. With a relatively small number of randomly sampled neurons, the information about stimulus position is fully retrievable from the recruitment order. The effective connectivity that makes order-based representation invariant to time warping is characterized by the existence of stations through which activity is required to pass in order to propagate further into the network. This study uncovers a simple invariant in a noisy biological network in vitro; its applicability under in vivo constraints remains to be seen.
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spelling pubmed-25807312008-11-21 Order-Based Representation in Random Networks of Cortical Neurons Shahaf, Goded Eytan, Danny Gal, Asaf Kermany, Einat Lyakhov, Vladimir Zrenner, Christoph Marom, Shimon PLoS Comput Biol Research Article The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based primitives of stimulus representation in neuronal networks. Here we show that in spontaneously developing large-scale random networks of cortical neurons in vitro the order in which neurons are recruited following each stimulus is a naturally emerging representation primitive that is invariant to significant temporal changes in spike times. With a relatively small number of randomly sampled neurons, the information about stimulus position is fully retrievable from the recruitment order. The effective connectivity that makes order-based representation invariant to time warping is characterized by the existence of stations through which activity is required to pass in order to propagate further into the network. This study uncovers a simple invariant in a noisy biological network in vitro; its applicability under in vivo constraints remains to be seen. Public Library of Science 2008-11-21 /pmc/articles/PMC2580731/ /pubmed/19023409 http://dx.doi.org/10.1371/journal.pcbi.1000228 Text en Shahaf et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Shahaf, Goded
Eytan, Danny
Gal, Asaf
Kermany, Einat
Lyakhov, Vladimir
Zrenner, Christoph
Marom, Shimon
Order-Based Representation in Random Networks of Cortical Neurons
title Order-Based Representation in Random Networks of Cortical Neurons
title_full Order-Based Representation in Random Networks of Cortical Neurons
title_fullStr Order-Based Representation in Random Networks of Cortical Neurons
title_full_unstemmed Order-Based Representation in Random Networks of Cortical Neurons
title_short Order-Based Representation in Random Networks of Cortical Neurons
title_sort order-based representation in random networks of cortical neurons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2580731/
https://www.ncbi.nlm.nih.gov/pubmed/19023409
http://dx.doi.org/10.1371/journal.pcbi.1000228
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