BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Nanoelectronics Meets Neuroengineering: Brain-inspired Systems and
  Neural Interfaces
DTSTART:20150324T160000
DTSTAMP:20260408T012938Z
UID:993e7b8e5d8e05261097d4aab8e3b351b80da66d8f31af2e8efbba01
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Duygu KUZUM\, University of Pennsylvania\nBio: Duygu Kuzum
  received her Ph.D in Electrical Engineering from Stanford University in 2
 010. She is currently a postdoctoral researcher at University of Pennsylva
 nia\, Bioengineering Department. Her research focuses on applying innovati
 ons in nanoelectronics to develop new technologies\, which will help to be
 tter understand circuit-level computation in the brain. She developed nano
 electronic synaptic devices emulating the synaptic computation and plastic
 ity in human brain. This technology could lead to portable and energy-effi
 cient computers that can learn and process information in real time simila
 r to human brain. Recently\, she has been working on developing novel tool
 s to probe brain circuits with high spatial and temporal precision. She is
  the author or coauthor of over 40 journal and conference papers. Her work
  on nanoelectronic devices was featured on the cover of Nano Letters\, hig
 hlighted in Nature and covered by several media outlets (New Scientist\, S
 tanford News Report\, Nanowerk\, EE Times). She was a recipient of a numbe
 r of awards\, including Texas Instruments Fellowship and Intel Foundation 
 Fellowship\, PopTech Science and Public Leaders Fellowship (2013) Award\, 
 Penn Neuroscience Pilot Innovative Research Award (2014)\, TASSA (Turkish-
 American Scientists and Scholars) Young Investigator Award (2014)\, and In
 novators under 35 (TR35) by MIT Technology Review (2014).\nBrain-inspired 
 architectures and reconfigurable-adaptive systems are emerging research fi
 elds aiming to go beyond capabilities of digital logic and eventually to r
 each brain-like computational efficiency. In this first part of my talk\, 
 I will present a novel electronic device for brain-inspired computing\, mi
 micking functionalities of biological synapses in the brain. I will discus
 s several aspects of brain computation including energy efficiency\, robus
 tness and parallelism and then explain how synaptic devices are used in hi
 ppocampus-inspired synaptic grids to demonstrate learning and robustness i
 n hardware. I also will discuss how synaptic devices can help to understan
 d brain computation. In the second part of my talk\, I will introduce a ne
 w flexible transparent neural probe made of graphene for simultaneous elec
 trophysiology and neuroimaging. Understanding dynamics of neural circuits 
 requires probing them with high spatial and temporal resolution\, simultan
 eously. To date\, none of the available neural recording technologies has 
 the ability to see individual neurons and their connections and simultaneo
 usly record their activity at the temporal resolution of single spikes. I 
 will explain how the transparent probes made of graphene enable simultaneo
 us functional optical imaging and electrophysiology to combine spatial and
  temporal resolution advantages of both techniques.   I will then demons
 trate in vitro and in vivo recordings with transparent graphene electrodes
  and discuss electrochemical characteristics and noise performance of grap
 hene neural electrodes.
LOCATION:SG0213 http://plan.epfl.ch/?lang=fr&room=SG+0213
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR