Work

Associative routing through neuromorphic nanowire networks

Year: 2020

Type: article

Abstract: Resistance in neuromorphic nanowire networks can be decreased when activated by voltage as multiple pathways of low resistance interconnected nanowires form, increasing nanowire to nanowire connectivity. We show that high connectivity regions are retained for a few minutes after the energy source is switched off. We have used this property to devise an associative device. With a multielectrode array, we send current through the network to connect together areas that are spatially associated with a given electrode combination forming a pattern. We correctly retrieve the stored patterns by passing a small current through the network at a later time even when we input a faulty or incomplete pattern as the network groups stored patterns into cluster of high associativity, in analogy with semantic memory association in the human brain.

Source: AIP Advances

DOI: 10.1063/1.5140579

Authors: A. Diaz-Alvarez, R. Higuchi, Q. Li, Y. Shingaya, T. Nakayama

Institutions: The University of Sydney, University of Tsukuba, National Institute for Materials Science

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,350

Funder: Japan Society for the Promotion of Science