CrossNets:: possible neuromorphic networks based on nanoscale components

Abstract

AbstractExtremely dense neuromorphic networks may be based on hybrid 2D arrays of nanoscale components, including molecular latching switches working as adaptive synapses, nanowires as axons and dendrites, and nano‐CMOS circuits serving as neural cell bodies. Possible architectures include ‘free‐growing’ networks that may form topologies very close to those of cerebral cortex, and several species of distributed crossbar‐type networks, ‘CrossNets’ (including notably ‘InBar’ and ‘RandBar’), with better density and speed scaling. Numerical modelling show that the specific signal sign asymmetry used in CrossNets allows self‐excitation of recurrent networks with long‐range cell interaction, witho..