Neural readout of a latency code in the active electrosensory system.

CP: Neuroscience active sensing corollary discharge electric fish spike latency temporal coding

Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
29 03 2022
Historique:
received: 23 12 2021
revised: 03 02 2022
accepted: 10 03 2022
entrez: 30 3 2022
pubmed: 31 3 2022
medline: 2 4 2022
Statut: ppublish

Résumé

The latency of spikes relative to a stimulus conveys sensory information across modalities. However, in most cases, it remains unclear whether and how such latency codes are utilized by postsynaptic neurons. In the active electrosensory system of mormyrid fish, a latency code for stimulus amplitude in electroreceptor afferent nerve fibers (EAs) is hypothesized to be read out by a central reference provided by motor corollary discharge (CD). Here, we demonstrate that CD enhances sensory responses in postsynaptic granular cells of the electrosensory lobe but is not required for reading out EA input. Instead, diverse latency and spike count tuning across the EA population give rise to graded information about stimulus amplitude that can be read out by standard integration of converging excitatory synaptic inputs. Inhibitory control over the temporal window of integration renders two granular cell subclasses differentially sensitive to information derived from relative spike latency versus spike count.

Identifiants

pubmed: 35354029
pii: S2211-1247(22)00353-9
doi: 10.1016/j.celrep.2022.110605
pmc: PMC9045710
mid: NIHMS1793841
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

110605

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS075023
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS118448
Pays : United States
Organisme : NINDS NIH HHS
ID : RF1 NS118448
Pays : United States

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

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Auteurs

Krista E Perks (KE)

Department of Biology, Wesleyan University, Middletown, CT 06459, USA; Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.

Nathaniel B Sawtell (NB)

Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA. Electronic address: ns2635@columbia.edu.

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Classifications MeSH