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Neuromorphic Processing: A Unifying Tutorial

2021/08/13 by Hamid Soleimani, Soleimani, Hamid, Emmanuel M. Drakakis +1
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neuroscience and Neural Engineering

paper · pdf · doi:10.48550/arxiv.2108.06318

Abstract

All systolic or distributed neuromorphic architectures require power-efficient processing nodes. In this paper, a unifying tutorial is presented which implements multiple neuromorphic processing elements using a systematic analog approach including synapse, neuron and astrocyte models. It is shown that the proposed approach can successfully synthesize multidimensional dynamical systems into analog circuitry with minimum effort.

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