Neuromorphic systems aim to use electronics to replicate human intelligence. Mimicking biological systems that operate in continuous-time requires a combination of continuous-time analog and digital electronics. Many past and recent neuromorphic systems use self-timed digital electronics to achieve energy-efficient operation.
We will discuss some of the uses of self-timed logic in the design of the TrueNorth and Braindrop neuromorphic systems, and some ongoing work to make this design methodology more accessible to researchers in this space.
Rajit Manohar,
Yale University
Rajit Manohar is Professor of Electrical and Computer Engineering and Computer Science at Yale. He received his B.S. (1994), M.S. (1995), and Ph.D. (1998) from Caltech. His group conducts research on the design, analysis, and implementation of self-timed systems. He is the recipient of twelve best paper awards, nine teaching awards, and was named to MIT technology review’s top 35 young innovators under 35 for contributions to low power microprocessor design.