Konstantin K. Likharev – CrossNets: Possible Nanoelectronic Neuromorphic Networks

Computational Neuroscience Journal Club
Wednesday July 13 at 11:30 in room 313

Konstantin K. Likharev
Department of Physics and Astronomy, Stony Brook University

CrossNets: Possible Nanoelectronic Neuromorphic Networks


I will review recent work on devices, circuits and architectures for possible hybrid CMOS/nanoelectronic integrated circuits based on nanowire crossbars, with similar, simple, two-terminal devices formed at each crosspoint. Special attention will be given to application of such circuits in mixed-signal, adaptive neuromorphic networks (“CrossNets”) which may provide unparalleled performance for some important information processing tasks, and in future may become the first hardware basis for challenging the mammal cerebral cortex in both density and speed, at manageable power.

The work has been supported by AFOSR, DoD, FCRP via FENA Center, and NSF.

A recent review of the work, with a list of key publications, is available online at http://rsfq1.physics.sunysb.edu/~likharev/nano/SAM11.pdf