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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 60  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2023-10-28
10:45
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
A design of ultra-low power reservoir computing system with analog CMOS spiking neural network circuits
Satoshi Ono, Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2023-29
Spiking neural network (SNN) is expected to be applied to edge computing due to its low power consumption when implement... [more] NC2023-29
p.23
NC, MBE
(Joint)
2022-09-29
10:25
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Analog circuit implementation of spiking neural networks and its application to time-series information processing
Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato, Yoshihiko Horio (Tohoku Univ) NC2022-33
Edge computing in which low-dimensional signals such as sensor output are processed nearby sensors have become increasin... [more] NC2022-33
p.5
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-22
14:05
Online Online Secret-Key Exchange Through Synchronization of Randomized Lorenz Oscillators
Koshiro Onuki, Kenichiro Cho (Ritsumeikan Univ.), Yoshihiko Horio (Tohoku Univ.), Takaya Miyano (Ritsumeikan Univ.) NLP2021-106 MICT2021-81 MBE2021-67
 [more] NLP2021-106 MICT2021-81 MBE2021-67
pp.155-158
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
09:50
Online Online Analog-circuit design of STDP learning rule with linear decay and its LSI implementation
Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) NC2021-40
Spiking neural networks (SNNs) are expected to be the next generation of information processing technology to reduce the... [more] NC2021-40
p.44
NLP 2021-12-18
14:50
Oita J:COM Horuto Hall OITA Experiment of time series signal classification task using 3D cyclic chaotic neural network reservoir
Takemori Orima, Yoshihiko Horio (Tohoku Univ.) NLP2021-65
The chaotic neural network reservoir composed of chaotic neurons can perform time-series signal processing with a smalle... [more] NLP2021-65
pp.100-103
NC, MBE
(Joint)
2021-03-05
10:20
Online Online On an online learning rule for reservoir neural network hardware
Kaito Kudo, Keisuke Fukuda, Yoshihiko Horio (Tohoku Univ.) NC2020-66
 [more] NC2020-66
pp.133-138
MSS, NLP
(Joint)
2020-03-09
15:20
Aichi  
(Cancelled but technical report was issued)
A Mathematical Model for a Synapse Device Based on Spintronics
Taku Sato, Kikuchi Yushi, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (Tohoku Univ.) NLP2019-122
Recently, there is an increasing interest in a Spiking Neural Network (SNN) and Spike-Timing Dependent Plasticity (STDP)... [more] NLP2019-122
pp.55-60
NLP, NC
(Joint)
2020-01-25
09:50
Okinawa Miyakojima Marine Terminal Quantitative Evaluation of Dynamics in Chaotic Neural Network Reservoir
Keisuke Fukuda, Maakito Inoue, Yoshihiko Horio (Tohoku Univ.) NLP2019-102
A chaotic neural network reservoir has been proposed as a method to introduce diversity in reservoir neural network dyna... [more] NLP2019-102
pp.89-94
NLP, NC
(Joint)
2020-01-25
10:10
Okinawa Miyakojima Marine Terminal Application of Chaotic Neural Network Reservoir to Speech Recognition
Maakito Inoue, Keisuke Fukuda, Yoshihiko Horio (Tohoku Univ.) NLP2019-103
The neural network reservoir is a learning network model using the recurrent neural network. The chaotic neural network ... [more] NLP2019-103
pp.95-98
NLP, NC
(Joint)
2020-01-25
10:30
Okinawa Miyakojima Marine Terminal Mathematical modeling of spintronics neuron device based on thermal dynamics
Yushi Kikuchi, Taku Sato, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (TU) NLP2019-104
Spintronics device has been shown to reproduce some functionalities of synapse (i.e. spike-timing-dependent plasticity) ... [more] NLP2019-104
pp.99-104
MBE, NC 2019-10-12
11:45
Miyagi   LSI Implementation and Its Evaluation of an Izhikevich Model Neuron Analog MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) MBE2019-44 NC2019-35
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] MBE2019-44 NC2019-35
pp.69-73
NLP 2019-09-24
10:40
Kochi Eikokuji Campus, University of Kochi A Method of Determining Parameter Values for Active Reflectionless Transmission-Line Model Based on the Cochlea
Takemori Orima, Yoshihiko Horio (Tohoku Univ.) NLP2019-53
The passive reflectionless trasmission-line model (passive model) based on the cochlea reproduces the physiological char... [more] NLP2019-53
pp.93-97
NC, MBE
(Joint)
2019-03-04
16:10
Tokyo University of Electro Communications Proposal of an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2018-60
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] NC2018-60
p.93
CAS, NLP 2018-10-18
13:15
Miyagi Tohoku Univ. [Invited Talk] Brainmorphic Computing and Edge AI Hardware
Yoshihiko Horio (Tohoku Univ.) CAS2018-42 NLP2018-77
This presentation introduces a brainmorphic computing paradigm and its hardware implementation through which we aim to r... [more] CAS2018-42 NLP2018-77
pp.31-32
NLP 2017-11-06
10:25
Miyagi Research Institute of Electrical Communication Tohoku University An Improved Formulation of Feature Values in Passive Reflectionless Transmission-Line Model Based on the Cochlea
Takemori Orima, Yoshihiko Horio (Tohoku Univ.) NLP2017-76
A passive reflectionless transmission-line model well reproduces the physiological characteristics of the cochlea by adj... [more] NLP2017-76
pp.65-68
NLP 2017-11-06
11:15
Miyagi Research Institute of Electrical Communication Tohoku University Toward the Brainmorphic Computing Pardigm
Yoshihiko Horio (Tohoku Univ.) NLP2017-78
There have been worldwide attempts to realize an elaborated large-scale brain-inspired computer hardware system. However... [more] NLP2017-78
pp.75-77
MRIS, ITE-MMS 2017-10-19
13:45
Niigata Kashiwazaki energy hall, Niigata [Invited Talk] Analog spintronics devices and its application to artificial neural networks
Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) MR2017-18
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] MR2017-18
pp.7-12
NLP 2017-07-13
16:10
Okinawa Miyako Island Marine Terminal On the Whole Organism Computing
Yoshihiko Horio (Tohoku Univ.) NLP2017-38
Recently, there have been worldwide attempts to simulate the whole brain activities with software on a super computer, a... [more] NLP2017-38
pp.59-62
MBE, NC
(Joint)
2017-03-13
14:35
Tokyo Kikai-Shinko-Kaikan Bldg. Autoassociative Memory System Using Analogue Magnetic Memory Device
Shouta Kurihara, Hisanao Akima, William A. Borders, Shunsuke Fukami, Satoshi Moriya, Aleksandr Kurenkov, Ryota Shimohashi, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) NC2016-85
 [more] NC2016-85
pp.127-132
MBE, NC
(Joint)
2016-11-18
16:40
Miyagi Tohoku University [Invited Talk] Toward the Whole Organism Computing
Yoshihiko Horio (Tohoku Univ.) MBE2016-51 NC2016-33
Recently, there have been worldwide attempts to simulate the whole brain activities with software on a super computer, a... [more] MBE2016-51 NC2016-33
p.19(MBE), p.7(NC)
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