Event Date
A recording of this presentation is available at this link.
DUYGU KUZUM, PH.D.
Associate Professor
Department of Electrical and Computer Engineering
University of California, San Diego
Host: Erkin Şeker, PhD, eseker@ucdavis.edu
This event has both in-person and remote options. Please follow the safety precautions in effect at the time of the event (link).
Registration link:
https://tinyurl.com/NeuroengMar23
Abstract
The next leap in implantable neural interfaces requires technological advances in materials, devices, and computing paradigms. Holistic approaches integrating optical and electrical sensing modalities can overcome spatiotemporal resolution limits of neural sensing as well as open up new avenues for non-invasive neural recording. Integration of sensing, computation and memory on a single array can enable real-time processing of neural signals for compact, low-power and high-throughput brain machine interfaces. In this talk, I will present this vision, its challenges, and discuss recent advances in the areas of transparent neural interfaces for multimodal recordings, neuromorphic approaches for on-chip neural processing and computational co-design at the system level for minimally invasive neural interfaces.
Bio
Duygu Kuzum received her Ph.D in Electrical Engineering from Stanford University in 2010. She is currently an Associate Professor in Electrical and Computer Engineering Department at University of California, San Diego. Her research focuses on applying innovations in nanoelectronics to develop new technologies, which will help to better understand circuit-level computation in the brain. She develops nanoelectronic synaptic devices for energy-efficient neuro-inspired computing. She was a recipient of a number of awards, including Texas Instruments Fellowship and Intel Foundation Fellowship, Penn Neuroscience Pilot Innovative Research Award (2014), Innovators under 35 (TR35) by MIT Technology Review (2014), ONR Young Investigator Award (2016), IEEE Nanotechnology Council Young Investigator Award (2017), NSF Career Award (2018), NIH NIBIB Trailblazer Award (2018), and NIH New Innovator Award (2020).