CrossNets: possible neuromorphic networks based on nanoscale components

DOI10.1002/cta.223zbMath1016.94045OpenAlexW2111811998MaRDI QIDQ4805490

Konstantin K. Likharev, Özgür Türel

Publication date: 7 May 2003

Published in: International Journal of Circuit Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cta.223

zbMATH Keywords

adaptationnanowireshybrid circuitssynapsesneuromorphic networkscrossbar arrays self-evolutionnanoFETssingle-electron devices

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Analytic circuit theory (94C05) Mathematical problems of computer architecture (68M07)

Related Items

CMOL implementation of spiking neurons and spike-timing dependent plasticity, New dimensions in non‐classical neural computing, part II: quantum, nano, and optical

Uses Software

• CrossNets

Cites Work

• Statistical mechanics of complex networks
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