Adaptation in cone photoreceptors contributes to an unexpected insensitivity of primate On parasol retinal ganglion cells to spatial structure in natural images.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
14 03 2022
Historique:
received: 22 05 2021
accepted: 13 03 2022
pubmed: 15 3 2022
medline: 30 4 2022
entrez: 14 3 2022
Statut: epublish

Résumé

Neural circuits are constructed from nonlinear building blocks, and not surprisingly overall circuit behavior is often strongly nonlinear. But neural circuits can also behave near linearly, and some circuits shift from linear to nonlinear behavior depending on stimulus conditions. Such control of nonlinear circuit behavior is fundamental to neural computation. Here, we study a surprising stimulus dependence of the responses of macaque On (but not Off) parasol retinal ganglion cells: these cells respond nonlinearly to spatial structure in some stimuli but near linearly to spatial structure in others, including natural inputs. We show that these differences in the linearity of the integration of spatial inputs can be explained by a shift in the balance of excitatory and inhibitory synaptic inputs that originates at least partially from adaptation in the cone photoreceptors. More generally, this highlights how subtle asymmetries in signaling - here in the cone signals - can qualitatively alter circuit computation.

Identifiants

pubmed: 35285798
doi: 10.7554/eLife.70611
pii: 70611
pmc: PMC8956286
doi:
pii:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NEI NIH HHS
ID : F31 EY026288
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY028542
Pays : United States

Informations de copyright

© 2022, Yu et al.

Déclaration de conflit d'intérêts

ZY, MT, JB No competing interests declared, FR Reviewing editor, eLife

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Auteurs

Zhou Yu (Z)

Department of Physiology and Biophysics, University of Washington, Seattle, United States.

Maxwell H Turner (MH)

Department of Physiology and Biophysics, University of Washington, Seattle, United States.

Jacob Baudin (J)

Department of Physiology and Biophysics, University of Washington, Seattle, United States.

Fred Rieke (F)

Department of Physiology and Biophysics, University of Washington, Seattle, United States.

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Classifications MeSH