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Journal Articles Neural Computation Year : 2024

How does the inner retinal network shape the ganglion cells receptive field : a computational study

Abstract

We consider a model of basic inner retinal connectivity where bipolar and amacrine cells interconnect, and both cell types project onto ganglion cells, modulating their response output to the brain visual areas. We derive an analytical formula for the spatio-temporal response of retinal ganglion cells to stimuli taking into account the effects of amacrine cells inhibition. This analysis reveals two important functional parameters of the network: (i) the intensity of the interactions between bipolar and amacrine cells, and, (ii) the characteristic time scale of these responses. Both parameters have a profound combined impact on the spatiotemporal features of RGC responses to light. %We show that, depending on these parameters value, retinal ganglion cells can change their spatio-temporal response (e.g. from monophasic to biphasic). The validity of the model is confirmed by faithfully reproducing pharmacogenetic experimental results obtained by stimulating excitatory DREADDs (Designer Receptors Exclusively Activated by Designer Drugs) expressed on ganglion cells and amacrine cells subclasses, thereby modifying the inner retinal network activity to visual stimuli in a complex, entangled manner. Our mathematical model allows us to explore and decipher these complex effects in a manner that would not be feasible experimentally and provides novel insights in retinal dynamics.
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hal-04161982 , version 1 (13-07-2023)
hal-04161982 , version 2 (31-05-2024)

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Evgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, Bruno Cessac. How does the inner retinal network shape the ganglion cells receptive field : a computational study. Neural Computation, 2024, 36 (6), pp.1041-1083. ⟨10.1162/neco_a_01663⟩. ⟨hal-04161982v2⟩
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