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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2019-05-10
13:50
Oita J:COM HoltoHALL OITA Structure estimation of a neural network using Inter-spike-interval
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Ikeguchi Tohru (TUS) NLP2019-3
In this paper, we apply the causal estimation method of Convergent Cross Mapping to a mathematical model of neural netwo... [more] NLP2019-3
pp.13-18
NC, MBE
(Joint)
2019-03-05
15:00
Tokyo University of Electro Communications On the spatiotemporal information contained in spike responses of mouse retina ganglion cells
Yuki Kashiwagi, Koji Yamamoto, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2018-99
Information in the visual scene projected on the retina is encoded into the digital-like electrical signal called “spike... [more] MBE2018-99
pp.65-70
NLP 2013-10-29
10:15
Kagawa Sanport Hall Takamatsu A chaotic spiking oscillator including signum-characteristic current sources
Takahiro Tanaka, Yusuke Matsuoka (YNCT) NLP2013-94
This paper considers a chaotic spiking oscillator including signum-characteristic current sources. The oscillator consis... [more] NLP2013-94
pp.127-131
CAS, NLP 2013-09-27
10:15
Gifu Satellite Campus, Gifu University A parameter learning method for Piecewise-Constant Chaos Oscillator with spike trains of desired ISI
Tatsuro Furusawa, Tadashi Tsubone (Nagaoka Univ. of Tech.) CAS2013-47 NLP2013-59
In this study, we consider a parameter identification method for piecewise-constant chaos oscillator (PWCCO) which can g... [more] CAS2013-47 NLP2013-59
pp.63-66
NLP 2011-12-15
14:50
Aomori Iwaki Hall AB, Hirosaki Univ. Bifurcation of Inter-Spike-Interval Density of Piecewise-Constant Chaotic Spiking Oscillator with Dead-Time
Takahiro Aoki, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2011-121
In this report, we consider inter-spike-interval (abbr. ISI)density of a chaotic spiking oscillator (abbr. CSO) with pie... [more] NLP2011-121
pp.25-30
NC, NLP 2009-07-13
14:00
Nara NAIST Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons
Yasuhiro Tsubo, Yoshikazu Isomura, Tomoki Fukai (RIKEN BSI) NLP2009-20 NC2009-13
Spike sequences recorded from cortical neurons in an awake animal are known to be highly irregular. It is crucial for el... [more] NLP2009-20 NC2009-13
pp.33-35
CAS, NLP 2009-01-22
10:55
Miyazaki   Bifurcation and ISI characteristics of chaotic spiking circuits
Tomonari Hasegawa, Toshimichi Saito (Hosei Univ.) CAS2008-68 NLP2008-98
This paper study simple chaotic spiking oscillators relating to neuron models.
Repeating vibrate-and-fire dynamics, th... [more]
CAS2008-68 NLP2008-98
pp.29-32
NLP 2007-08-07
14:35
Shizuoka   Bifurcation and ISI characteristics of piecewise constant spking circuits
Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito (Hosei Univ.) NLP2007-60
This paper studies a chaotic spiking oscillator consisting of two
capacitors, two signum shape voltage-controlled curr... [more]
NLP2007-60
pp.39-42
NLP 2007-03-06
09:25
Miyagi   ISI Characteristics of Vibrate-and-Fire Chaotic Circuits
Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito, Tomohiro Inagaki (HU)
This paper studies Inter-Spike Interval (ISI) characteristics of a piecewise constant vibrate-and-fire chaotic circuit. ... [more] NLP2006-155
pp.7-11
NC 2006-03-16
16:25
Tokyo Tamagawa University Characteristics of various ISIs from a digital spiking neuron
Hiroyuki Torikai, Yoshiaki Shimizu, Toshimichi Saito (HoseiI Univ.)
A digital spiking neuron can generate spike-trains having various {\em inter-spike intervals} (ISIs).
The neuron can ha... [more]
NC2005-149
pp.145-150
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