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Information transfer and recovery for the sense of touch

Chao Huang, View ORCID ProfileBernhard Englitz, Andrey Reznik, View ORCID ProfileFleur Zeldenrust, View ORCID ProfileTansu Celikel
doi: https://doi.org/10.1101/2020.12.08.415729
Chao Huang
1Department of Neurophysiology, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen – the Netherlands
2Laboratory of Neural Circuits and Plasticity, University of Southern California, Los Angeles – CA, USA
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Bernhard Englitz
1Department of Neurophysiology, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen – the Netherlands
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Andrey Reznik
2Laboratory of Neural Circuits and Plasticity, University of Southern California, Los Angeles – CA, USA
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Fleur Zeldenrust
1Department 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
1Department 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

Transformation of postsynaptic potentials (PSPs) into action potentials (APs) is the rate-limiting step of communication in neural networks. The efficiency of this intracellular information transfer also powerfully shapes stimulus representations in sensory cortices. Using whole-cell recordings and information-theoretic measures, we show herein that somatic PSPs accurately represent stimulus location on a trial-by-trial basis in single neurons even 4 synapses away from the sensory periphery in the whisker system. This information is largely lost during AP generation but can be rapidly (<20 ms) recovered using complementary information in local populations in a cell-type-specific manner. These results show that as sensory information is transferred from one neural locus to another, the circuits reconstruct the stimulus with high fidelity so that sensory representations of single neurons faithfully represent the stimulus in the periphery, but only in their PSPs, resulting in lossless information processing for the sense of touch in the primary somatosensory cortex.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • separated supplementary and main text added repository doi added github link

  • https://doi.org/10.34973/59my-jm24

  • https://github.com/DepartmentofNeurophysiology/Information-transfer-and-recovery-for-sense-of-touch-code-for-figures

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

  • Abbreviations

    AP
    Action potential / spike
    PW
    Principal whisker
    H
    Entropy
    S
    Stimulus
    ΔT
    Variation in spike timing
    L
    (Cortical) layer
    PSP
    Postsynaptic potential
    SW
    Surround whisker
    I
    (Mutual) Information
    PSTH
    Peristimulus time histogram
    ΔC
    Variation in spike rate
    CSR
    Columnar Synchronous Response
  • 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-ND 4.0 International license.
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    Posted December 15, 2020.
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    Information transfer and recovery for the sense of touch
    Chao Huang, Bernhard Englitz, Andrey Reznik, Fleur Zeldenrust, Tansu Celikel
    bioRxiv 2020.12.08.415729; doi: https://doi.org/10.1101/2020.12.08.415729
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    Information transfer and recovery for the sense of touch
    Chao Huang, Bernhard Englitz, Andrey Reznik, Fleur Zeldenrust, Tansu Celikel
    bioRxiv 2020.12.08.415729; doi: https://doi.org/10.1101/2020.12.08.415729

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