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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-17
15:25
Nagasaki
(Primary: On-site, Secondary: Online)
Chaotic Response of Hardware Small World Neural Network with STDP
Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.) MSS2022-106 NLP2022-151
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] MSS2022-106 NLP2022-151
pp.210-213
MBE, NC
(Joint)
2020-12-18
15:15
Online Online A Study on Recall of Temporal Pattern Using Hopfield Network with Pulse-type Hardware Neuron Model
Yoshiki Sasaki, Katsutoshi Saeki (Nihon Univ.) NC2020-29
Previously, we proposed a pulse-type hardware chaotic neuron model.In this paper, we report on a pulsed neural network t... [more] NC2020-29
pp.7-12
MBE, NC
(Joint)
2018-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. Analyses on the image extraction properties of the retinal ganglion cell spikes with a hardware model
Koji Ishii, Hirotsugu Yamaguchi, Yuki Hayashida, Naofumi Suematsu, Tetsuya Yagi (Osaka Univ.) NC2017-84
In the retina, the visual information represented by light is first transduced to graded potential change in the photore... [more] NC2017-84
pp.97-102
MSS, CAS, IPSJ-AL [detail] 2015-11-21
10:50
Kagoshima Ibusuki CityHall Study of effect for Chevreul illusion caused by luminance difference using hardware neural network model
Motoki Saito, Yoshinobu Maeda (Niigata Univ.), Junichi Akita (Kanazawa Univ.), Akira Tsukada (TNCT) CAS2015-57 MSS2015-31
Illusion phenomena occur when we perceive external environments. The Chevreul illusion, which plays a role in emphasizin... [more] CAS2015-57 MSS2015-31
pp.109-113
CAS 2014-02-06
15:20
Kanagawa Nippon Maru Training center Reproduction of four-leg animal gaits using an asymmetric hardware CPG model
Genichiro Ishigoka, Akihiro Maruyama, Hayate Kojima (Niigata Univ.), Tomoyasu Ichimura (ONCT), Yoshinobu Maeda (Niigata Univ.) CAS2013-80
In this technical report, we proposed a hardware model of the central pattern generator, or CPG, which controlled the ga... [more] CAS2013-80
pp.41-44
NC 2011-07-26
11:25
Hyogo Graduate School of Engineering, Kobe University A Pulsed Neuron Model for Hardware Implementation without Multiplier
Yusuke Hosoi, Kazunori Matsuo (Kumamoto-nct), Norihiro Kurokawa, Hiroyasu Yamamoto (Techno Design), Minoru Motoki (Kumamoto-nct) NC2011-36
The neural network has a problem about response time. Therefore it is necessary to become hardware. Iwata, et al propose... [more] NC2011-36
pp.87-92
MBE 2010-01-28
15:50
Kumamoto Kumamoto Univ. A CMOS circuit model accounting for the object motion sensitive response in vertebrate retinas
Hidetaka Yasuoka, Murat Saglam, Yuki Hayashida, Nobuki Murayama (Kumamoto Univ.) MBE2009-87
Visual information processing in vertebrate animals starts in retinas. In recent electrophysiological studies, it has be... [more] MBE2009-87
pp.55-59
NC 2008-11-08
14:40
Saga Saga Univ. The Waveform Conduction Characteristic of NN Using Pulse-Type Hardware Chaos Neuron Model
Ken Saito, Yoshifumi Sekine (Nihon Univ.) NC2008-70
Various coding hypothesis are reported by using the mathematical pulse-type neuron model. However, the information proce... [more] NC2008-70
pp.67-72
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
NC 2007-03-16
15:30
Tokyo Tamagawa University Waveform Information Transmission Characteristics of Asynchronous Pulse-Type Hardware NN Focus on the Instantaneous Firing Rate
Ken Saito, Hitoshi Irie, Yoshifumi Sekine (Nihon Univ.)
We study the waveform transmission of pulse train which propagates the NN using hardware model. In this paper, we study ... [more] NC2006-213
pp.149-154
 Results 1 - 10 of 10  /   
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