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Stimulus-dependent suppression of intrinsic variability in recurrent neural networks

โœ Scribed by Kanaka Rajan; Laurence F Abbott; Haim Sompolinsky


Book ID
115006572
Publisher
BioMed Central
Year
2010
Tongue
English
Weight
212 KB
Volume
11
Category
Article
ISSN
1471-2202

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Diagonal recurrent neural network with m
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A novel neural network based method for modeling of rate-dependent hysteresis in piezoelectric actuators is proposed. In order to approximate the behavior of rate-dependent hysteresis which is a kind of nonsmooth dynamic nonlinearity with multi-valued mapping, a diagonal recurrent neural network (DR