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How Diverse Retinal Functions Arise from Feedback at the First Visual Synapse

Authors :
Antonia Drinnenberg
Rava Azeredo da Silveira
Josephine Jüttner
Felix Franke
Andreas Hierlemann
Péter Hantz
Rei K. Morikawa
Daniel Hillier
Botond Roska
Friedrich Miescher Institute for Biomedical Research (FMI)
Novartis Research Foundation
Department of Biosystems Science and Engineering [ETH Zürich] (D-BSSE)
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)
Laboratoire de Physique Statistique de l'ENS (LPS)
Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS)
École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Princeton Neuroscience Institute [Princeton]
Source :
Neuron, Neuron, Elsevier, 2018, 99 (1), pp.117-134.e11. ⟨10.1016/j.neuron.2018.06.001⟩
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

International audience; Many brain regions contain local interneurons of distinct types. How does an interneuron type contribute to the input-output transformations of a given brain region? We addressed this question in the mouse retina by chemogenetically perturbing horizontal cells, an interneuron type providing feedback at the first visual synapse, while monitoring the light-driven spiking activity in thousands of ganglion cells, the retinal output neurons. We uncovered six reversible perturbation-induced effects in the response dynamics and response range of ganglion cells. The effects were enhancing or suppressive, occurred in different response epochs, and depended on the ganglion cell type. A computational model of the retinal circuitry reproduced all perturbation-induced effects and led us to assign specific functions to horizontal cells with respect to different ganglion cell types. Our combined experimental and theoretical work reveals how a single interneuron type can differentially shape the dynamical properties of distinct output channels of a brain region.

Details

ISSN :
08966273
Volume :
99
Database :
OpenAIRE
Journal :
Neuron
Accession number :
edsair.doi.dedup.....68fe40f6bf5f08eb24083cfec3df19ea