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Cortical representation of touch in silico

Chao Huang, View ORCID ProfileFleur Zeldenrust, View ORCID ProfileTansu Celikel
doi: https://doi.org/10.1101/2020.11.06.371252
Chao Huang
Department of Neurophysiology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen - the Netherlands
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Fleur Zeldenrust
Department of Neurophysiology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen - the Netherlands
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  • ORCID record for Fleur Zeldenrust
Tansu Celikel
Department of Neurophysiology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen - the Netherlands
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  • For correspondence: celikel@neurophysiology.nl
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Abstract

With its six layers and ~12000 neurons, a cortical column is a complex network whose function is plausibly greater than the sum of its constituents’. Functional characterization of its network components will require going beyond the brute-force modulation of the neural activity of a small group of neurons. Here we introduce an open-source, biologically inspired, computationally efficient network model of the somatosensory cortex’s granular and supragranular layers after reconstructing the barrel cortex in soma resolution. Comparisons of the network activity to empirical observations showed that the in silico network replicates the known properties of touch representations and whisker deprivation-induced changes in synaptic strength induced in vivo. Simulations show that the history of the membrane potential acts as a spatial filter that determines the presynaptic population of neurons contributing to a post-synaptic action potential; this spatial filtering might be critical for synaptic integration of top-down and bottom-up information.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/DepartmentofNeurophysiology/Cortical-representation-of-touch-in-silico

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted November 07, 2020.
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Cortical representation of touch in silico
Chao Huang, Fleur Zeldenrust, Tansu Celikel
bioRxiv 2020.11.06.371252; doi: https://doi.org/10.1101/2020.11.06.371252
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Cortical representation of touch in silico
Chao Huang, Fleur Zeldenrust, Tansu Celikel
bioRxiv 2020.11.06.371252; doi: https://doi.org/10.1101/2020.11.06.371252

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