Associative routing through neuromorphic nanowire networks
Source abstract
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.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Neural dynamics and brain function
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
International Center for Material Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS) 1 , 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
Graduate School of Pure and Applied Sciences, University of Tsukuba 2 , 1-1 Namiki, Tsukuba, Ibaraki 305-8571, Japan
Sydney Nano Institute and School of Physics, University of Sydney 3 , Sydney, NSW 2006, Australia
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