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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) |
2015-12-19 16:15 |
Aichi |
Nagoya Institute of Technology |
A Learning Method for Extended SpikeProp without Redundant Spikes
-- A Discussion on Methods to Suppress Redundant Connections -- Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) NC2015-53 |
SpikeProp, which is proposed by Booij, is a kind of spiking neural networks. It can learn the timing of output spikes, b... [more] |
NC2015-53 pp.43-48 |
PRMU, MI, IE, SIP |
2015-05-15 09:00 |
Mie |
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Improving Generalization Ability of SpikeProp Networks
-- Method to Detect Inputs that Cause Problem -- Takuya Toyota, Yoichiro Kitagawa, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) SIP2015-13 IE2015-13 PRMU2015-13 MI2015-13 |
Recently, spiking neural networks attracts many researchers attention as an artificial neural network model that has an ... [more] |
SIP2015-13 IE2015-13 PRMU2015-13 MI2015-13 pp.65-70 |
MBE, NC (Joint) |
2014-12-13 13:40 |
Aichi |
Nagoya University |
A Learning Method for Extended SpikeProp without Redundant Spikes
-- A Discussion on Time Delay -- Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ) NC2014-52 |
SpikeProp, which is proposed by Booij,
is a kind of spiking neural networks.
It can learn the timing of output spik... [more] |
NC2014-52 pp.49-53 |
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