A modular T-mode design approach for analog neural network hardware implementations

A modular transconductance-mode (T-mode) design approach is presented for analog hardware implementations of neural networks. This design approach is used to build a modular bidirectional associative memory network. The authors show that the size of the whole system can be increased by interconnecti...

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Bibliographic Details
Published in:IEEE journal of solid-state circuits 1992-05, Vol.27 (5), p.701-713
Main Authors: Linares-Barranco, B., Sanchez-Sinencio, E., Rodriguez-Vazquez, A., Huertas, J.L.
Format: Article
Language:English
Subjects:
Applied sciences
Associative memory
Constraint optimization
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Hopfield neural networks
Integrated circuit interconnections
Magnesium compounds
Neural network hardware
Neural networks
Prototypes
Real time systems
Testing
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Summary:A modular transconductance-mode (T-mode) design approach is presented for analog hardware implementations of neural networks. This design approach is used to build a modular bidirectional associative memory network. The authors show that the size of the whole system can be increased by interconnecting more modular chips. It is also shown that by changing the interconnection strategy different neural network systems can be implemented, such as a Hopfield network, a winner-take-all network, a simplified ART 1 network, or a constrained optimization network. Experimentally measured results from CMOS 2- mu m double-metal, double-polysilicon prototypes (MOSIS) are presented.< >
ISSN:0018-9200
1558-173X
DOI:10.1109/4.133157