Simulation of a novel, optically addressable, switched-current/continuous-time, current-mode cellular neural network
Simulation of a novel, optically addressable, switched-current/continuous-time, current-mode cellular neural network
- Author(s): G. O'Sullivan ; J. Hegarty ; P. Horan ; S. Kakizaki ; B. Kelly ; E. McCabe
- DOI: 10.1049/el:19950352
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- Author(s): G. O'Sullivan 1 ; J. Hegarty 1 ; P. Horan 2 ; S. Kakizaki 2 ; B. Kelly 1 ; E. McCabe 1
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View affiliations
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Affiliations:
1: Department of Physics, Trinity College, Dublin, Ireland
2: O'Reilly Institute, Hitachi Dublin Laboratory, Trinity College, Dublin, Ireland
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Affiliations:
1: Department of Physics, Trinity College, Dublin, Ireland
- Source:
Volume 31, Issue 7,
30 March 1995,
p.
563 – 564
DOI: 10.1049/el:19950352 , Print ISSN 0013-5194, Online ISSN 1350-911X
The authors describe simulation results of a novel GaAs-based current-mode cellular neural network (CNN) connected component detector. It uses a new two-stage integrator which may be operated in switched-current or continuous-time mode. Our system approach would afford CNN parallel optical input and output.
Inspec keywords: integrating circuits; optical neural nets; neural chips; switched current circuits; analogue processing circuits; cellular neural nets
Other keywords:
Subjects: Neural nets (circuit implementations); Neural net devices; Analogue processing circuits
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