Understanding neuronal dynamics and information processing performed by neural circuits requires advanced technologies with high-resolution sensing and stimulation capability. Optically transparent neural interfaces can enable integration of optical imaging, optogenetics and electrophysiology. In this talk, I will present our recent work on graphene-based transparent neural interfaces, highlight key applications and discuss processing multimodal datasets.
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 was a recipient of a number of awards, including 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).