Step-by-step design of a gain-adjustable neuron cell

Chiewcharn Narathong; J. Staab; S. Geiger

doi:10.1117/12.140084

1 July 1992 Step-by-step design of a gain-adjustable neuron cell

Chiewcharn Narathong, J. Staab, S. Geiger

Proceedings Volume 1710, Science of Artificial Neural Networks; (1992) https://doi.org/10.1117/12.140084
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The objective of this research project is to develop an optimally sized analog CMOS neuron cell library. This neuron cell together with the optimal synapse developed previously can be used to construct a high density VLSI neural network. The standard cell library allows a neural network designer to concentrate on applying his/her networks as well as evaluating learning algorithms. In order to achieve this objective, a set of optimal design equations was derived from standard CMOS equations. This paper includes both the derivation of the design equations and the evaluation of the size (silicon area) and performance of the neuron cell.

Citation Download Citation

Chiewcharn Narathong, J. Staab, and S. Geiger "Step-by-step design of a gain-adjustable neuron cell", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140084

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