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VERSION:2.0
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SUMMARY:Copying Brain
DTSTART:20201012T121500
DTEND:20201012T130000
DTSTAMP:20260407T091154Z
UID:7f975dadef4d54310d4f70e7da058afc0748563cfdf009f8f42bab0e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. Donhee Ham\,\nHarvard University\nInstitute of Micro
 engineering - Distinguished Lecture\n\nDue to the covid-19 restrictions cu
 rrently in place\, the lecture will take place remotely by zoom only.\n\nZ
 oom Live Stream: https://epfl.zoom.us/j/934241343\n\nAbstract: Massively p
 arallel\, intracellular recording of a large number of mammalian neurons a
 cross a network has been a great technological pursuit in neurobiology\, b
 ut it has not been achieved until our recent breakthrough [1]. For example
 \, the intracellular recording by the patch clamp revolutionized neurobiol
 ogy with its unparalleled sensitivity that can measure down to subthreshol
 d synaptic activities\, but it is too bulky to scale into a dense array\, 
 and only ~10 parallel patch recordings have so far been possible. For anot
 her example\, the microelectrode array (MEA) can record from many more neu
 rons\, but this extracellular technique has too low a sensitivity to tap i
 nto synaptic events. In this talk\, I will share the recent breakthrough o
 f ours [1]\, a CMOS nanoelectrode array that massively parallelizes the in
 tracellular recording from thousands of connected mammalian neurons. I wil
 l also explore the applications of this unprecedented tool in fundamental 
 and applied neurobiology\, in particular\, functional connectome mapping\,
  high-throughput drug screening for neurological disorder\, and copying bi
 ological neuronal networks as a possible new synthesis of machine intellig
 ence.\n\n[1] J. Abbott et al\, “A nanoelectrode array for obtaining intr
 acellular recordings from thousands of connected neurons\,”  Nature Bio
 med. Eng.\, doi: 10.1038/s41551-019-0455-7 (2019)\n\nBio: Donhee Ham is Go
 rdon McKay Professor of Applied Physics and EE at Harvard and Samsung Fell
 ow. He earned a BS in physics from Seoul National University. Following a 
 military service\, he went to Caltech for graduate training\, where he wor
 ked in LIGO under Prof. Barry Barish in physics\, and later obtained a PhD
  in EE winning the Wilts Prize for the best EE thesis. His experiences/rec
 ognitions include IBM T. J. Watson Research\, distinguished visiting profe
 ssorship at Seoul National University\, IEEE conference committees (e.g.\,
  ISSCC)\, distinguished lecturer for IEEE SSC Society\, associate editor f
 or IEEE TBioCAS\, IBM faculty fellowship\, and MIT TR35. His intellectual
  focus includes neuro-electronic interface\, neuromorphic processor\, low-
 dimensional and quantum devices\, NMR technology\, and integrated circuits
 .\n\n\nNote: The Seminar Series is eligible for ECTS credits in the EDMI d
 octoral program
LOCATION:Online Only https://epfl.zoom.us/j/934241343
STATUS:CONFIRMED
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