Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-11-12 14:40 |
Miyagi |
Tohoku University (Miyagi) |
[Invited Talk]
Analysis and Hardware Implementation of an Extended Spatiotemporal Contextual Learning and Memory Network Based on the Hippocampus Takemori Orima, Yoshihiko Horio, Katsunori Ito (Tohoku Univ.) CCS2024-46 |
The extended spatiotemporal contextual learning and memory network, which combines the spatiotemporal learning rule and ... [more] |
CCS2024-46 pp.19-24 |
NC, MBE (Joint) |
2023-10-28 10:45 |
Miyagi |
Tohoku Univ. (Miyagi, Online) (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. (Miyagi, Online) (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 (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 (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 (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 (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 |
(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 (Okinawa) |
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 (Okinawa) |
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 (Okinawa) |
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 |
(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 (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 (Tokyo) |
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. (Miyagi) |
[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 (Miyagi) |
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 (Miyagi) |
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 (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 (Okinawa) |
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. (Tokyo) |
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 |