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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2016-03-22
15:45
Tokyo Tamagawa University Analysis of Trasnsient Phenomena to Periodic Digital Spike-Trains
Tomoki Hamaguchi, Kei Yamaoka, Toshimichi Saito (HU) NC2015-77
This paper studies dynamic of simple deigital spike maps. The map can generate the digital periodic
spike-trains. In or... [more]
NC2015-77
pp.49-52
NC, NLP
(Joint)
2016-01-29
14:00
Fukuoka Kyushu Institute of Technology Analysis of spurious memories in hysteresis associative memories
Takahiro Ishikawa, Kei Yamaoka, Toshimichi Saito (HU) NC2015-62
The hysteresis neural network is a continuous-time network characterized by binary hysteresis activation function.
Th... [more]
NC2015-62
pp.29-32
NLP, CAS 2015-10-05
13:55
Hiroshima Aster Plaza Generation of disital spike-trains based on growing greedy search
Kei Yamaoka, Toshimichi Saito (HU) CAS2015-27 NLP2015-88
This paper studies a simple evolutionary algorithm for synthesis of digital spiking neurons(DSNs).
The DSN is based on... [more]
CAS2015-27 NLP2015-88
pp.37-41
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-25
16:10
Okinawa Okinawa Institute of Science and Technology Evolutionary learning of hysteresis neural networks
Kei Yamaoka, Toshimichi Saito (HU) NC2015-10
This paper studies evolutionary leaning algorithm for hysteresis associative memories (HAM).
The HAM is characterized ... [more]
NC2015-10
pp.89-92
NC 2015-01-29
14:35
Fukuoka Kyushu Institute of Technology Associative memory and amplitude death of hysteresis neural networks
Kei Yamaoka, Toshimichi Saito (HU) NC2014-58
This paper studies effects of the amplitude death on the
storage function of the hysteresis neural network.
Applying... [more]
NC2014-58
pp.7-10
 Results 1 - 5 of 5  /   
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