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

Autor:	Chen Q; Department of Physiology and Biophysics, University of Washington, Seattle, United States., Ingram NT; Department of Physiology and Biophysics, University of Washington, Seattle, United States., Baudin J; Department of Physiology and Biophysics, University of Washington, Seattle, United States., Angueyra JM; Department of Physiology and Biophysics, University of Washington, Seattle, United States., Sinha R; Department of Physiology and Biophysics, University of Washington, Seattle, United States., Rieke F; Department of Physiology and Biophysics, University of Washington, Seattle, United States.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2024 Nov 05; Vol. 13. Date of Electronic Publication: 2024 Nov 05.
DOI:	10.7554/eLife.93795
Abstrakt:	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. Competing Interests: QC, NI, JB, JA, RS No competing interests declared, FR Reviewing editor, eLife (© 2024, Chen et al.)
Databáze:	MEDLINE
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