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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2014-01-22
11:40
Hokkaido Niseko Park Hotel Analysis of a Dendritic Network Based on an Asynchronous Cellular Automaton
Naoki Shimada (Osaka Univ.), Hiroyuki Torikai (Kyouto Sangyo Univ.) NLP2013-151
The neuron is roughly divided into three parts: soma, dendrite, and axon.
In this paper, a multi-compartment neuron mod... [more]
NLP2013-151
pp.117-122
NLP 2013-03-15
13:20
Chiba Nishi-Chiba campus, Chiba Univ. A multi-compartment neuron model based on asynchronous cellular automaton
Naoki Shimada, Hiroyuki Torikai (Osaka Univ.) NLP2012-168
As one of the neuron models based on asynchronous cellular automata, a resonate-and-fire digital spiking neuron (RDN) ha... [more] NLP2012-168
pp.127-132
NC, NLP 2011-01-25
13:20
Hokkaido Hokakido Univ. Excitabilities of generalized asynchronous digital spiking neuron model -- Toward developing a field programmable neuron array --
Takashi Matsubara, Hiroyuki Torikai (Osaka Univ.) NLP2010-147 NC2010-111
A digital spiking neuron is a wired system of shift registers and it can exhibit various nonlinear dynamics of real neur... [more] NLP2010-147 NC2010-111
pp.129-134
NLP 2010-10-28
14:50
Osaka Osaka University Machikaneyama Hall Fundamental analysis of a rotate-and-fire digital spiking neuron toward development of its learning algorithm
Tetsuya Hishiki, Hiroyuki Torikai (Osaka Univ.) NLP2010-88
A rotate-and-fire digital spiking neuron is a wired system of shift registers that is suitable for electronic circuit im... [more] NLP2010-88
pp.41-46
NC, MBE
(Joint)
2010-03-10
11:05
Tokyo Tamagawa University Improvement of the cerebellar spiking neuron network model and simulation of VOR motor learning.
Seiichi Kobayashi (Chubu Univ.), Keiichiro Inagaki (RIKEN), Yutaka Hirata (Chubu Univ.) NC2009-120
The vestibuloocular reflex (VOR) is an adaptive motor control system that maintains compensatory eye movements when grow... [more] NC2009-120
pp.191-196
NLP 2009-11-13
11:25
Kagoshima   Approximation of unknown neuron dynamics by a discrete-state spiking neuron model -- an approach toward neural prosthesis --
Sho Hashimoto, Hiroyuki Torikai (Osaka Univ) NLP2009-104
In this paper, we introduce a hybrid spiking neuron which is a discrete-state neuron model.
The neuron is suitable for ... [more]
NLP2009-104
pp.127-132
NC, NLP 2009-07-14
15:45
Nara NAIST Basic characteristics of SOM of spiking neurons
Kai Kinoshita, Hiroyuki Torikai (Osaka Univ.) NLP2009-43 NC2009-36
In this paper, we introduce a resonate-and-fire type spiking neuron and analyze the responce to the periodic spike input... [more] NLP2009-43 NC2009-36
pp.157-162
NLP 2009-03-10
13:25
Kyoto   Basic characteristic of Digital Spiking Neuron and its implementation
Robert Detulong, Hiroyuki Torikai (Osaka Univ.) NLP2008-156
The Digital Spiking Neuron is a wired system of shift registers and it can change its properties by adjusting the wiring... [more] NLP2008-156
pp.31-36
NLP 2009-02-28
14:40
Kanagawa   A Resonate-and-Fire Digital Spike Neuron and its Analysys
Tetsuya Hishiki, Hiroyuki Torikai (Osaka Univ.) NLP2008-144
In this paper, we propose a Resonate-and-Fire Digital Spike Neuron (DSN).
The model has external input and shows nonaut... [more]
NLP2008-144
pp.71-76
CAS, NLP 2009-01-23
09:40
Miyazaki   On correlation properties of Impulse Radio Sequences generated by Digital Spiking Neurons
Akira Hirata, Hiroyuki Torikai (Osaka Univ.) CAS2008-86 NLP2008-116
In recent years, the Ultra Wideband (UWB) impulse radio has been much studied.
For UWB impulse radio, we must generate ... [more]
CAS2008-86 NLP2008-116
pp.125-129
NC 2008-11-08
14:15
Saga Saga Univ. Response characteristics and Learning of a Hybrid Spiking Neuron
Sho Hashimoto, Hiroyuki Torikai (Osaka Univ.) NC2008-69
In this paper, we propose a hybrid spiking neuron (HSN).
A HSN can exhibit various bifurcation phenomena and response c... [more]
NC2008-69
pp.61-65
NLP 2008-03-28
15:20
Hyogo   Learning Algorithm for a Digital Spiking Neuron and its FPGA Implementation
Sho Hashimoto, Hiroyuki Torikai (Osaka Univ.) NLP2007-177
The Digital Spiking Neuron is a wired system of shift registers and changes its properties by adjusting the wirings amon... [more] NLP2007-177
pp.61-66
NC 2007-11-18
14:50
Saga Saga Univ. Fundamental analysis of a Digital Spiking Neuron for development of a learning algorithm
Hiroyuki Torikai (Osaka Univ.) NC2007-60
The digital spiking neuron is a wired system of shift registers and behaves like a spiking neuron model.
By adjusting t... [more]
NC2007-60
pp.31-36
NLP 2007-04-25
12:30
Nagano   Digital spiking neuron and its approximation ability of spike-trains
Hiroyuki Torikai (Osaka Univ.), Toshimichi Saito (Hosei Univ.) NLP2007-1
A digital spiking neuron (DSN) consists of shift registers and can generate spike-trains with various patterns of inter-... [more] NLP2007-1
pp.1-6
NLP 2007-01-17
11:45
Kagawa   On Approximation Function in Basic Learning Algorithm of Digital Spiking Neurons
Atsuo Funew, Hiroyuki Torikai, Toshimichi Saito (HU)
A Digital Spiking Neuron (DSN) can generate a spike-train that has various sequences of inter-spike intervals (ISIs).
... [more]
NLP2006-115
pp.25-30
NLP 2006-11-13
12:30
Okayama   An approach to UWB's code generation based on digital spiking neurons
Takahiro Kabe, Hiroyuki Torikai, Toshimichi Saito (HU)
This paper studies pulse-coupled master-slave network of digital spiking
neurons. The neuron is constructed by coupling... [more]
NLP2006-65
pp.1-5
NC 2006-11-11
14:40
Saga Saga University An approach toward learning algorithm for Digital Spiking Neuron
Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.)
A Digital Spiking Neuron (DSN) can generate a spike-train that can have various sequences of Inter-Spike Intervals (ISIs... [more] NC2006-69
pp.41-46
NC 2006-06-16
11:40
Okinawa OIST On a fundamental learning of a Digital Spiking Neuron
Hiroyuki Torikai, Toshimichi Saito (HOSEI Univ.)
The Digital Spiking Neuron (DSN) has discrete-time and discrete-state, and can generate spike-trains having various inte... [more] NC2006-29
pp.41-46
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
NLP 2006-01-24
14:00
Tokushima Shikoku Univ. Basic characteristics of various spike-trains from a digital spiking neuron
Yoshiaki Shimizu, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.)
The Digital Spiking Neuron (DSN) has discrete-time and -state, and is a ultra-discrete system.
The DSN can generate per... [more]
NLP2005-112
pp.81-86
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