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Nanoelectronic Neuromorphic Networks (CrossNets):...
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Nanoelectronic Neuromorphic Networks (CrossNets): New Results

Abstract

Our group is developing neuromorphic network architectures for future hybrid semiconductor/nanowire/ molecular (“CMOL”) circuits. Estimates show that such networks (“CrossNets”) may eventually overcome the cerebral cortex in areal density, operating at much higher speed, at acceptable power consumption. In this report, we demonstrate that CrossNets based on simple (two-terminal) molecular devices can be configured to reproduce the behavior of …

Authors

Türel Ö; Lee JH; Ma X; Likharev KK

Volume

1

Pagination

pp. 389-394

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2004

DOI

10.1109/ijcnn.2004.1379937

Name of conference

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)