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Electronics for Brain-inspired Computing and Probing Neural Circuits
Start Date: 5/1/2014Start Time: 12:00 PM
End Date: 5/1/2014

Event Description
SPEAKER:
Duygu Kuzum, PhD
Postdoctoral Researcher
School of Engineering and Applied Science
Department of Bioengineering
University of Pennsylvania

DETAILS:
The efficiency of today’s information processors has been dominated by transistor scaling based on Moore’s law. However, in the nano-era device scaling started to face significant barriers in achieving historical performance gains. Besides the scaling limits, the conventional computing paradigm based on binary logic and Von Neumann architecture becomes increasingly inefficient as the complexity of computation increases. Brain-inspired architectures and reconfigurable-adaptive systems are emerging research fields aiming to go beyond capabilities of digital logic and eventually to reach brain-level efficiency. In this first part of her talk, Dr. Kuzum will present a novel electronic device for brain-inspired computing, mimicking functionalities of biological synapses in the brain. She will discuss several aspects of brain computation including energy efficiency, robustness and parallelism and compare with state-of-the-art super computers. Dr. Kuzum will explain how we can use synaptic devices in brain-inspired architectures to demonstrate learning and robustness in hardware. She will then discuss how synaptic devices can help understanding brain computation. In the second part of her talk, Dr. Kuzum will introduce a new flexible transparent neural probe made of graphene. She will discuss electrochemical characteristics and noise performance of transparent probes in in vivo recordings. She will then explain how the transparent probes enable simultaneous calcium imaging and electrophysiology in hippocampal slices to study circuit dynamics with high spatio-temporal resolution.

BIOSKETCH:
Duygu Kuzum received her BS in Electrical Engineering from Bilkent University, Turkey in 2004 and her PhD in Electrical Engineering from Stanford University in 2010. She is currently a postdoctoral researcher in the Department of Bioengineering at the University of Pennsylvania. Dr. Kuzum's PhD research focused on design, fabrication, and characterization of Ge MOSFETs for future high performance processors. Recently, she has been focusing on developing nanoelectronic synaptic devices emulating the synaptic computation and plasticity in human brain. This technology could lead to portable, energy-efficient, adaptable and interactive computer systems that can learn and process information in real time similar to human brain. Dr. Kuzum is also focusing on interfacing nanoelectronic synapses with biological neurons to build hybrid biocomputation platforms, which will improve our understanding of neural circuits in the brain and which may eventually lead to neural prosthetic devices repairing impaired neural circuits. She applies innovations in nanoelectronics and materials science to develop new technologies, which will help to better understand circuit-level computation in the brain and develops novel tools to probe neural circuits with high spatial and temporal resolution. Dr. Kuzum 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, highlighted in Nature and covered by several media outlets (New Scientist, Stanford News Report, Nanowerk, EE Times). She worked as a research intern at Translucent Inc. (2006) and Intel Component Research (2008). Dr. Kuzum was a recipient of a number of awards, including Texas Instruments Fellowship and Intel Foundation Fellowship, PopTech Science and Public Leaders Fellowship (2013) Award, Penn Neurosicence Pilot Innov ative Research Award (2014), and TASSA (Turkish-American Scientists and Scholars) Young Investigator Award (2014).
Location:
Room 709, Bossone Research Enterprise Center (located at the corner of 32nd and Market Streets)
Audience:
  • Public

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