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SUMMARY:Translational Neuroelectronics - Dion Khodagholy\, Assistant Profe
 ssor in Electrical Engineering\, Columbia University\, New York.
DTSTART:20201022T150000Z
DTEND:20201022T160000Z
UID:TALK153346@talks.cam.ac.uk
CONTACT:Kirsty Shepherd
DESCRIPTION:As our understanding of the brain’s physiology and pathology
  progresses\, increasingly sophisticated technologies are required to adva
 nce discoveries in neuroscience and develop more effective approaches to t
 reating brain disease. There is a tremendous need for advanced materials s
 olutions at the biotic/abiotic interface to improve the spatiotemporal res
 olution of neuronal recording and stimulation. Organic electronic devices 
 offer a unique approach to these challenges\, due to their mixed ionic/ele
 ctronic conduction\, mechanical flexibility\, enhanced biocompatibility\, 
 and capability for drug delivery. We designed\, developed\, and characteri
 zed conformable organic electronic devices in the form of electrodes\, ion
  gated transistors\, conformable batteries and ionic communication units t
 o efficiently interface with the brain and acquire neurophysiological acti
 vity not previously accessible with recordings from the brain surface. The
 se devices have facilitated large-scale rodent neurophysiology experiments
  and uncovered a novel oscillatory interaction. The biocompatibility of th
 e devices allowed intra-operative recording from patients undergoing epile
 psy and deep brain stimulation surgeries\, highlighting the translational 
 capacity of this class of neural interface devices. In parallel\, we are d
 eveloping the high-speed electronics and embedded acquisition and storage 
 systems required to make high channel count\, chronic neurophysiological r
 ecording from animals and human subjects possible.This multidisciplinary a
 pproach will enable the development of new devices based on organic electr
 onics\, with broad applicability to the understanding of physiologic and p
 athologic network activity\, control of brain-machine interfaces\, and the
 rapeutic closed-loop devices.
LOCATION:Zoom meeting ID 854 9009 2228. Passcode 951 970.
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