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SUMMARY:Toward a natural-resolution neural interface: artificial retina
DTSTART:20180921T150000
DTEND:20180921T160000
DTSTAMP:20260508T231100Z
UID:9a063544ab96182703adca289c9afdd3f8d9cd95eeed9953e2069c02
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. E.J. Chichilnisky\, John R. Adler Professor of Neurosu
 rgery at Stanford University\nAbstract\nRetinal prostheses represent an ex
 citing development in science\, engineering\, and medicine – an opportun
 ity to create devices that exploit our knowledge of neural circuitry in or
 der to replace or even enhance normal function. The lessons we learn in de
 veloping them may apply to many neural interfaces of the future. Existing 
 retinal prostheses demonstrate proof of principle in treating incurable bl
 indness\, but they produce limited visual function. Some of the reasons fo
 r this can be understood based on the exquisitely precise and specific cir
 cuitry that mediates visual signaling in the retina. These considerations 
 suggest that future devices may need to operate at single-cell\, single-sp
 ike resolution in order to mediate naturalistic visual function. I will sh
 ow data indicating that\, in some cases\, such resolution is possible. I w
 ill also discuss the limits of current technology\, and propose that we ca
 n substantially improve the performance of retinal prostheses\, and presum
 ably other neural interfaces\, by designing bi-directional devices that ad
 apt to the specific configuration of the neural circuity and thus produce 
 more natural function.\n \nBiography:\nE.J. Chichilnisky is the John R. A
 dler Professor of Neurosurgery at Stanford University\, where he has been 
 since 2013 after 15 years at the Salk Institute for Biological Studies. He
  received his B.A. in Mathematics from Princeton University\, and his M.S.
  in mathematics and Ph.D. in neuroscience from Stanford University. His re
 search program focuses on understanding the spatiotemporal patterns of ele
 ctrical activity in the retina that convey visual information to the brain
 \, and their origins in retinal circuitry\, using large-scale multi-electr
 ode recordings. His research also involves physiological experiments with 
 electrical stimulation and computational methods aimed at advancing the de
 sign of visual prostheses for treating blindness. He is the recipient of a
 n Alfred P. Sloan Research Fellowship\, a McKnight Scholar Award\, and a M
 cKnight Technological Innovation in Neuroscience Award.
LOCATION:H4 2 232.080 https://plan.epfl.ch/?room=H42232.080
STATUS:CONFIRMED
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