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A Continuous-Time Asynchronous Boltzmann Machine

โœ Scribed by Kazuo Yamanaka; Masahiro Agu; Teruyuki Miyajima

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
814 KB
Volume
10
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

We propose an asynchronous neural network model having the same structure as the binary Hopfield model. Each neuron operates with continuous time and randomly changes its state according only to its membrane potential. The proposed model settles in a steady-state fluctuation, in which the probability distribution of the global state is identical to that of the serial Boltzmann machine with the same synaptic weights. Copyright 1997 Elsevier Science Ltd.

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