Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-7822
Authors: | Reyes-Puerta, Vicente Kim, Suam Sun, Jyh-Jang Imbrosci, Barbara Kilb, Werner Luhmann, Heiko |
Title: | High stimulus-related information in barrel cortex inhibitory interneurons |
Online publication date: | 4-Oct-2022 |
Year of first publication: | 2015 |
Language: | english |
Abstract: | The manner in which populations of inhibitory (INH) and excitatory (EXC) neocortical neurons collectively encode stimulus-related information is a fundamental, yet still unresolved question. Here we address this question by simultaneously recording with large-scale multi-electrode arrays (of up to 128 channels) the activity of cell ensembles (of up to 74 neurons) distributed along all layers of 3–4 neighboring cortical columns in the anesthetized adult rat somatosensory barrel cortex in vivo. Using two different whisker stimulus modalities (location and frequency) we show that individual INH neurons – classified as such according to their distinct extracellular spike waveforms – discriminate better between restricted sets of stimuli (≤6 stimulus classes) than EXC neurons in granular and infra-granular layers. We also demonstrate that ensembles of INH cells jointly provide as much information about such stimuli as comparable ensembles containing the ~20% most informative EXC neurons, however presenting less information redundancy – a result which was consistent when applying both theoretical information measurements and linear discriminant analysis classifiers. These results suggest that a consortium of INH neurons dominates the information conveyed to the neocortical network, thereby efficiently processing incoming sensory activity. This conclusion extends our view on the role of the inhibitory system to orchestrate cortical activity. |
DDC: | 610 Medizin 610 Medical sciences |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 04 Medizin |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-7822 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
License: | CC BY |
Information on rights of use: | https://creativecommons.org/licenses/by/4.0/ |
Journal: | PLoS Computational Biology 11 6 |
Pages or article number: | e1004121 |
Publisher: | Public Library of Science |
Publisher place: | San Francisco, Calif. |
Issue date: | 2015 |
ISSN: | 1553-7358 1553-734X |
Publisher URL: | http://dx.doi.org/10.1371/journal.pcbi.1004121 |
Publisher DOI: | 10.1371/journal.pcbi.1004121 |
Appears in collections: | DFG-OA-Publizieren (2012 - 2017) |
Files in This Item:
File | Description | Size | Format | ||
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high_stimulusrelated_informat-20220914001929405.pdf | 2.93 MB | Adobe PDF | View/Open |