Download Electrical & Computer Engineering Seminar Series Sadique Sheik, UC - San Diego

12pm
Electrical & Computer Engineering
Seminar Series
Sadique Sheik, UC - San Diego
The Role of Transistor Mismatch in
Neuromorphic Engineering
Neuromorphic analog integrated circuits built to mimic biological
spiking neurons and synapses involve large numbers of
transistors, capacitors, and other components. Inaccuracies in
the fabrication lead to variability in the sizing of these integrated
components and their electrical properties, resulting in mismatch,
e.g. no two identically designed transistors are truly
identical. Transistor mismatch directly impacts the collective
dynamics of multiple identically designed neural elements
integrated on neuromorphic chips. In this talk, I will discuss some
of the implications of transistor mismatch and other fabrication
induced component variability on neuromorphic engineering, and
some of the strategies adopted to tackle such variability.
Dr. Sheik received his PhD in Neuroinformatics and Neuromorphic
Engineering from ETH Zurich in Switzerland. He is currently
developing dynamical systems approach to neural networks,
sequence learning, and large scale neuromorphic systems
Friday, March 13th
Noon – ENGR Room 103