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Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses

Rieke, Fred1; Chen, Qiang1

Published Nov 01, 2024 on Dryad. https://doi.org/10.5061/dryad.q2bvq83vg

Data files

Nov 01, 2024 version files 41.49 MB

Abstract

Computation in neural circuits relies on the judicious use of nonlinear circuit components. In many cases, multiple nonlinear components work collectively to control circuit outputs. Separating the contributions of these different components is difficult, and this limits our understanding of the mechanistic basis of many important computations. Here, we introduce a tool that permits the design of light stimuli that predictably alter rod and cone phototransduction currents - including stimuli that compensate for nonlinear properties such as light adaptation. This tool, based on well-established models for the rod and cone phototransduction cascade, permits the separation of nonlinearities in phototransduction from those in downstream circuits. This will allow, for example, direct tests of how adaptation in rod and cone phototransduction affects downstream visual signals and perception.