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Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons

Neurons recorded in behaving animals often do not discernibly respond to sensory input and are not overtly task-modulated. These non-classically responsive neurons are difficult to interpret and are typically neglected from analysis, confounding attempts to connect neural activity to perception and...

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Autores principales: Insanally, Michele N, Carcea, Ioana, Field, Rachel E, Rodgers, Chris C, DePasquale, Brian, Rajan, Kanaka, DeWeese, Michael R, Albanna, Badr F, Froemke, Robert C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391134/
https://www.ncbi.nlm.nih.gov/pubmed/30688649
http://dx.doi.org/10.7554/eLife.42409
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author Insanally, Michele N
Carcea, Ioana
Field, Rachel E
Rodgers, Chris C
DePasquale, Brian
Rajan, Kanaka
DeWeese, Michael R
Albanna, Badr F
Froemke, Robert C
author_facet Insanally, Michele N
Carcea, Ioana
Field, Rachel E
Rodgers, Chris C
DePasquale, Brian
Rajan, Kanaka
DeWeese, Michael R
Albanna, Badr F
Froemke, Robert C
author_sort Insanally, Michele N
collection PubMed
description Neurons recorded in behaving animals often do not discernibly respond to sensory input and are not overtly task-modulated. These non-classically responsive neurons are difficult to interpret and are typically neglected from analysis, confounding attempts to connect neural activity to perception and behavior. Here, we describe a trial-by-trial, spike-timing-based algorithm to reveal the coding capacities of these neurons in auditory and frontal cortex of behaving rats. Classically responsive and non-classically responsive cells contained significant information about sensory stimuli and behavioral decisions. Stimulus category was more accurately represented in frontal cortex than auditory cortex, via ensembles of non-classically responsive cells coordinating the behavioral meaning of spike timings on correct but not error trials. This unbiased approach allows the contribution of all recorded neurons – particularly those without obvious task-related, trial-averaged firing rate modulation – to be assessed for behavioral relevance on single trials.
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spelling pubmed-63911342019-03-04 Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons Insanally, Michele N Carcea, Ioana Field, Rachel E Rodgers, Chris C DePasquale, Brian Rajan, Kanaka DeWeese, Michael R Albanna, Badr F Froemke, Robert C eLife Computational and Systems Biology Neurons recorded in behaving animals often do not discernibly respond to sensory input and are not overtly task-modulated. These non-classically responsive neurons are difficult to interpret and are typically neglected from analysis, confounding attempts to connect neural activity to perception and behavior. Here, we describe a trial-by-trial, spike-timing-based algorithm to reveal the coding capacities of these neurons in auditory and frontal cortex of behaving rats. Classically responsive and non-classically responsive cells contained significant information about sensory stimuli and behavioral decisions. Stimulus category was more accurately represented in frontal cortex than auditory cortex, via ensembles of non-classically responsive cells coordinating the behavioral meaning of spike timings on correct but not error trials. This unbiased approach allows the contribution of all recorded neurons – particularly those without obvious task-related, trial-averaged firing rate modulation – to be assessed for behavioral relevance on single trials. eLife Sciences Publications, Ltd 2019-01-28 /pmc/articles/PMC6391134/ /pubmed/30688649 http://dx.doi.org/10.7554/eLife.42409 Text en © 2019, Insanally et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Insanally, Michele N
Carcea, Ioana
Field, Rachel E
Rodgers, Chris C
DePasquale, Brian
Rajan, Kanaka
DeWeese, Michael R
Albanna, Badr F
Froemke, Robert C
Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title_full Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title_fullStr Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title_full_unstemmed Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title_short Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
title_sort spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391134/
https://www.ncbi.nlm.nih.gov/pubmed/30688649
http://dx.doi.org/10.7554/eLife.42409
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