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

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 mec...

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Bibliographic Details
Published in:eLife 2024-11, Vol.13
Main Authors: Chen, Qiang, Ingram, Norianne T, Baudin, Jacob, Angueyra, Juan M, Sinha, Raunak, Rieke, Fred
Format: Article
Language:English
Subjects:
Adaptation
Animals
Light
Light Signal Transduction
neural computation
Neural networks
Neuroscience
Photic Stimulation
Photoreceptors
Phototransduction
Retinal Cone Photoreceptor Cells - physiology
Retinal Rod Photoreceptor Cells - physiology
Sensory perception
sensory processing
Tools and Resources
Vision, Ocular - physiology
visual adaptation
Visual pathways
Visual perception
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Summary: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.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.93795