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Poster Communications Year : 2018

How specific classes of retinal cells contribute to vision: A Computational Model

Abstract

Vision begins with the photoreceptors converting light from the visual scene into electrical signals, compressing our visual world into a code of action potentials sent to the brain by the retinal ganglion cells (RGCs). A human retina contains almost 1 million RGCs and each of these cells interprets different features of the visual scene (shape, motion, color, etc.). It is all these parallel streams of information received by the brain, that eventually lead to visual perception. Currently, there exist over 30 RGCs subtypes based on: Ø common anatomical features, Ø functional properties, Ø common gene expression. Contemporary questions: ✓What role does each RGC subtype play in vision? ✓How is vision impaired if one of these subtypes is inactivated? ☛ We propose a novel approach combining for the first time pharmacogenetics, electrophysiology, morphology, behavior and mathematical modelling in order to selectively inactivate specific RGCs types and decipher their role in vision, both at the single cell and population level.
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Dates and versions

hal-01816921 , version 1 (13-10-2018)

Identifiers

  • HAL Id : hal-01816921 , version 1

Cite

Evgenia Kartsaki, Bruno Cessac, Gerrit Hilgen, Evelyne Sernagor. How specific classes of retinal cells contribute to vision: A Computational Model. C@uca 2018 Meeting, Jun 2018, Fréjus, France. ⟨hal-01816921⟩
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