Disentangling temporal and rate codes in primate somatosensory cortex.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
20 Aug 2024
Historique:
received: 08 01 2024
revised: 07 08 2024
accepted: 13 08 2024
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 20 8 2024
Statut: aheadofprint

Résumé

Millisecond-scale temporal spiking patterns encode sensory information in the periphery, but their role in cortex remains controversial. The sense of touch provides a window into temporal coding because tactile neurons often exhibit precise, repeatable, and informative temporal spiking patterns. In somatosensory cortex (S1), responses to skin vibrations exhibit phase-locking that faithfully carries information about vibratory frequency. However, the respective roles of spike timing and rate in frequency coding are confounded because vibratory frequency shapes both the timing and rates of responses. To disentangle the contributions of these two neural features, we measured S1 responses as male Rhesus macaques performed frequency discrimination tasks in which differences in frequency were accompanied by orthogonal variations in amplitude. We assessed the degree to which the strength and timing of responses could account for animal performance. First, we showed that animals can discriminate frequency, but their performance is biased by amplitude variations. Second, rate-based representations of frequency are susceptible to changes in amplitude, but in ways that are highly inconsistent with the animals' behavioral biases, calling into question a rate-based neural code for frequency. In contrast, timing-based representations are highly informative about frequency but impervious to changes in amplitude, which is also inconsistent with the animals' behavior. We account for the animals' behavior with a model wherein frequency coding relies on a temporal code, but frequency judgments are biased by perceived magnitude. We conclude that information about vibratory frequency is not encoded in S1 firing rates but primarily in temporal patterning on millisecond time scales.

Identifiants

pubmed: 39164107
pii: JNEUROSCI.0036-24.2024
doi: 10.1523/JNEUROSCI.0036-24.2024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 the authors.

Auteurs

Thierri Callier (T)

Committee on Computational Neuroscience, University of Chicago, Chicago, IL.

Thomas Gitchell (T)

Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.

Michael A Harvey (MA)

Department of Medicine, University of Fribourg, 1700 Fribourg, Switzerland.

Sliman J Bensmaia (SJ)

Committee on Computational Neuroscience, University of Chicago, Chicago, IL.
Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Neuroscience Institute, University of Chicago, Chicago, IL.

Classifications MeSH