Neuromorphic Logic Networks and Robust Stochastic Computing Under Large Perturbations and Uncertanties

Lyshevski S.E.
Rochester Institute of Technology, US

Keywords: computing, neuromorphic processing, robust

This paper contributes to robust fault-tolerant neuromorphic computing for expected nano-centric processing hardware. We develop: (a) A library of neuromorphic networks for elementary logic function in order to enable the design of an arbitrary complexity logic networks; (b) Methods for designing fault tolerant neuromorphic networks in the presence of unreliable or failed threshold elements in the network. Our interest to neuromorphic computing is motivated by the stochastic and quantum physics of phenomena in microscopic (nano) processing primitives.

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Journal: TechConnect Briefs
Volume: 2, Nanotechnology 2011: Electronics, Devices, Fabrication, MEMS, Fluidics and Computational
Published: June 13, 2011
Pages: 690 - 693
Industry sector: Advanced Materials & Manufacturing
Topic: Informatics, Modeling & Simulation
ISBN: 978-1-4398-7139-3