December 2023
Volume 23, Issue 15
Open Access
Optica Fall Vision Meeting Abstract  |   December 2023
Poster Session II: Light-adaptation clamp: A tool to predictably manipulate photoreceptor light responses
Author Affiliations
  • Qiang Chen
    University of Washington
  • Norianne T. Ingram
    University of Washington
  • Jacob Baudin
    University of Washington
  • Juan M. Angueyra
    University of Maryland, College Park
  • Raunak Sinha
    University of Wisconsin, Madison
  • Fred Rieke
    University of Washington
Journal of Vision December 2023, Vol.23, 51. doi:
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      Qiang Chen, Norianne T. Ingram, Jacob Baudin, Juan M. Angueyra, Raunak Sinha, Fred Rieke; Poster Session II: Light-adaptation clamp: A tool to predictably manipulate photoreceptor light responses. Journal of Vision 2023;23(15):51.

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      © ARVO (1962-2015); The Authors (2016-present)

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Computation in neural circuits relies on 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 hampers 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 the compensation 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 the role of photoreceptor adaptation in downstream visual signals or in perception.

 Funding: Funding: NIH grant EY028542

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