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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
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 |
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