Millisecond-timescale local network coding in the rat primary somatosensory cortex.

Correlation among neocortical neurons is thought to play an indispensable role in mediating sensory processing of external stimuli. The role of temporal precision in this correlation has been hypothesized to enhance information flow along sensory pathways. Its role in mediating the integration of in...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Seif Eldawlatly, Karim G Oweiss
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2011
Materias:
R
Q
Acceso en línea:https://doaj.org/article/efbbe0de9f17485caa67a47983364958
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:efbbe0de9f17485caa67a47983364958
record_format dspace
spelling oai:doaj.org-article:efbbe0de9f17485caa67a479833649582021-11-18T06:50:59ZMillisecond-timescale local network coding in the rat primary somatosensory cortex.1932-620310.1371/journal.pone.0021649https://doaj.org/article/efbbe0de9f17485caa67a479833649582011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21738751/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Correlation among neocortical neurons is thought to play an indispensable role in mediating sensory processing of external stimuli. The role of temporal precision in this correlation has been hypothesized to enhance information flow along sensory pathways. Its role in mediating the integration of information at the output of these pathways, however, remains poorly understood. Here, we examined spike timing correlation between simultaneously recorded layer V neurons within and across columns of the primary somatosensory cortex of anesthetized rats during unilateral whisker stimulation. We used bayesian statistics and information theory to quantify the causal influence between the recorded cells with millisecond precision. For each stimulated whisker, we inferred stable, whisker-specific, dynamic bayesian networks over many repeated trials, with network similarity of 83.3±6% within whisker, compared to only 50.3±18% across whiskers. These networks further provided information about whisker identity that was approximately 6 times higher than what was provided by the latency to first spike and 13 times higher than what was provided by the spike count of individual neurons examined separately. Furthermore, prediction of individual neurons' precise firing conditioned on knowledge of putative pre-synaptic cell firing was 3 times higher than predictions conditioned on stimulus onset alone. Taken together, these results suggest the presence of a temporally precise network coding mechanism that integrates information across neighboring columns within layer V about vibrissa position and whisking kinetics to mediate whisker movement by motor areas innervated by layer V.Seif EldawlatlyKarim G OweissPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 6, p e21649 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Seif Eldawlatly
Karim G Oweiss
Millisecond-timescale local network coding in the rat primary somatosensory cortex.
description Correlation among neocortical neurons is thought to play an indispensable role in mediating sensory processing of external stimuli. The role of temporal precision in this correlation has been hypothesized to enhance information flow along sensory pathways. Its role in mediating the integration of information at the output of these pathways, however, remains poorly understood. Here, we examined spike timing correlation between simultaneously recorded layer V neurons within and across columns of the primary somatosensory cortex of anesthetized rats during unilateral whisker stimulation. We used bayesian statistics and information theory to quantify the causal influence between the recorded cells with millisecond precision. For each stimulated whisker, we inferred stable, whisker-specific, dynamic bayesian networks over many repeated trials, with network similarity of 83.3±6% within whisker, compared to only 50.3±18% across whiskers. These networks further provided information about whisker identity that was approximately 6 times higher than what was provided by the latency to first spike and 13 times higher than what was provided by the spike count of individual neurons examined separately. Furthermore, prediction of individual neurons' precise firing conditioned on knowledge of putative pre-synaptic cell firing was 3 times higher than predictions conditioned on stimulus onset alone. Taken together, these results suggest the presence of a temporally precise network coding mechanism that integrates information across neighboring columns within layer V about vibrissa position and whisking kinetics to mediate whisker movement by motor areas innervated by layer V.
format article
author Seif Eldawlatly
Karim G Oweiss
author_facet Seif Eldawlatly
Karim G Oweiss
author_sort Seif Eldawlatly
title Millisecond-timescale local network coding in the rat primary somatosensory cortex.
title_short Millisecond-timescale local network coding in the rat primary somatosensory cortex.
title_full Millisecond-timescale local network coding in the rat primary somatosensory cortex.
title_fullStr Millisecond-timescale local network coding in the rat primary somatosensory cortex.
title_full_unstemmed Millisecond-timescale local network coding in the rat primary somatosensory cortex.
title_sort millisecond-timescale local network coding in the rat primary somatosensory cortex.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/efbbe0de9f17485caa67a47983364958
work_keys_str_mv AT seifeldawlatly millisecondtimescalelocalnetworkcodingintheratprimarysomatosensorycortex
AT karimgoweiss millisecondtimescalelocalnetworkcodingintheratprimarysomatosensorycortex
_version_ 1718424328267104256