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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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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. |
format | Online Article Text |
id | pubmed-6391134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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