2011 IEEE International Symposium of Circuits and Systems (ISCAS) 2011
DOI: 10.1109/iscas.2011.5937708
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Simple improvement stage for low voltage WTA and Rank Order circuits

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Cited by 5 publications
(1 citation statement)
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“…Unsupervised learning networks are also implemented using WTA/LTA circuits [15], whose applications span from generative adversarial networks to ladder networks and variational autoencoders [45]. Fuzzy logic control [2,27], rectifiers [12,32,37], artificial neural networks (ANN) [3,36], associative memory [8], neuromorphic [44], vision sensors [40,46], nonlinear filters [31] and telecommunication circuits [5] are among the other applications which contain WTA/LTA units. Both sampled input and continuous-time WTAs/LTAs are present.…”
Section: Introductionmentioning
confidence: 99%
“…Unsupervised learning networks are also implemented using WTA/LTA circuits [15], whose applications span from generative adversarial networks to ladder networks and variational autoencoders [45]. Fuzzy logic control [2,27], rectifiers [12,32,37], artificial neural networks (ANN) [3,36], associative memory [8], neuromorphic [44], vision sensors [40,46], nonlinear filters [31] and telecommunication circuits [5] are among the other applications which contain WTA/LTA units. Both sampled input and continuous-time WTAs/LTAs are present.…”
Section: Introductionmentioning
confidence: 99%