Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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