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Implementation of Continuous-Time Dynamics on Stochastic Neurochip
Shunsuke AKIMOTO Akiyoshi MOMOI Shigeo SATO Koji NAKAJIMA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2004/09/01
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
stochastic logic, nonmonotonic neuron, continuous-time dynamics, asynchronous updating, associative memories, traveling salesman problem, large scale integration (LSI) implementation,
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The hardware implementation of a neural network model using stochastic logic has been able to integrate numerous neuron units on a chip. However, the limitation of applications occurred since the stochastic neurosystem could execute only discrete-time dynamics. We have contrived a neuron model with continuous-time dynamics by using stochastic calculations. In this paper, we propose the circuit design of a new neuron circuit, and show the fabricated neurochip comprising 64 neurons with experimental results. Furthermore, a new asynchronous updating method and a new activation function circuit are proposed. These improvements enhance the performance of the neurochip greatly.