Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, NLP |
2023-01-29 15:05 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Predictions and Attentions Acquired by Vision Transformer with Source-Target Attention from Dilated Convolutions on Small Data Sets Tatsuki Shimura, Katsumi Tadamura, Toshikazu Samura (Yamaguchi Univ) NLP2022-104 NC2022-88 |
Vision Transformer (ViT) requires large data sets during pre-training phase to acquire high classification accuracy on a... [more] |
NLP2022-104 NC2022-88 pp.123-128 |
MSS, NLP |
2022-03-29 14:15 |
Online |
Online |
Weighted Dice Loss for Segmentation from Noisy Labels Toshikazu Samura, Katsumi Tadamura (Yamaguchi Univ.) MSS2021-77 NLP2021-148 |
Deep neural networks (DNNs) are easily affected by noisy labels during training. It degrades the classification performa... [more] |
MSS2021-77 NLP2021-148 pp.117-120 |
CAS, NLP |
2021-10-14 13:00 |
Online |
Online |
Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation Hiromichi Furuya, Toshikazu Samura (Yamaguchi Univ) CAS2021-22 NLP2021-20 |
A Liquid State Machine (LSM) realizes information processing by retaining past information in its recursive structure. T... [more] |
CAS2021-22 NLP2021-20 pp.29-34 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 16:45 |
Online |
Online |
Neural Activity in Hippocampal CA1 According to Behavioral Duration in a Task Nobuyoshi Kadoya (Yamaguchi Univ.), Akiko Saiki-Ishikawa (Tamagawa Univ./Northwestern Univ.), Yutaka Sakai (Tamagawa Univ.), Yoshikazu Isomura (Tokyo Medical and Dental Univ./Tamagawa Univ.), Toshikazu Samura (Yamaguchi Univ./Tamagawa Univ.) NC2020-15 |
[more] |
NC2020-15 pp.34-37 |
NLP |
2020-05-15 11:25 |
Online |
Online |
Facial Expression Recognition by a Neural Network Inspired from Processing between the Visual Cortex and Amygdala Daiki Yoshihara, Toshikazu Samura (Yamaguchi Univ.) NLP2020-2 |
Facial expressions are important to communication. The visual cortex and amygdala are involved in the recognition of fac... [more] |
NLP2020-2 pp.7-10 |
MSS, NLP (Joint) |
2020-03-09 15:45 |
Aichi |
(Cancelled but technical report was issued) |
Two convolutional neural networks trained through Co-teaching perform a complementary role Toshikazu Samura, Katsumi Tadamura (Yamaguchi Univ.) NLP2019-123 |
Deep learning technology needs big labeled data without noisy labels to improve its performance. However, the costs for ... [more] |
NLP2019-123 pp.61-64 |
NC, NLP (Joint) |
2017-01-27 10:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Phasic Firings of Neurons in Motor Cortex and Striatum during Spindle on Electrocorticogram Signals Kohei Kuromiya (Yamaguchi Univ.), Yoko Tsukamoto (HUIS), Yutaka Sakai, Yoshikazu Isomura (Tamagawa Univ.), Fumino Fujiyama (Doshisha Univ.), Toshikazu Samurai (Yamaguchi Univ./amagawa Univ.) NC2016-56 |
In the brain, the neuronal activity of a neuron shows phasic firings in neuronal oscillations. Neuronal oscillations are... [more] |
NC2016-56 pp.49-52 |
NC, NLP |
2013-01-25 16:20 |
Hokkaido |
Hokkaido University Centennial Memory Hall |
Interaction of spatial and non-spatial information on the dendrite in the hippocampal granule cells Hirofumi Hayakawa, Tadanobu Kamijo, Toshikazu Samura, Takeshi Aihara (Tamagawa Univ.) NLP2012-139 NC2012-129 |
Recently, the hippocampal-dependent declarative memory was reported in humans. It indicated that the non-spatial informa... [more] |
NLP2012-139 NC2012-129 pp.199-204 |
NC |
2012-10-05 10:00 |
Fukuoka |
Kyushu Institute of Technology (Wakamatsu Campus) |
The modulation of long-term depression affecting distance-dependent synaptic weight distribution and directional spike propagation in a recurrent network Toshikazu Samura, Eriko Sugisaki, Yutaka Sakai (Tamagawa Univ.), Hatsuo Hayashi (KYUTECH), Takeshi Aihara (Tamagawa Univ.) NC2012-49 |
A recurrent network where excitatory and inhibitory neurons are mutually connected causes spike propagation when excitat... [more] |
NC2012-49 pp.73-78 |
NC |
2011-10-20 14:00 |
Fukuoka |
Ohashi Campus, Kyushu Univ. |
Axonal projection area of excitatory and inhibitory neurons producing stable directional spike propagation in a recurrent network Toshikazu Samura, Hatsuo Hayashi (Kyutech) NC2011-65 |
It has been demonstrated that spike propagation emerges in a locally connected recurrent network, which
consists of exc... [more] |
NC2011-65 pp.119-124 |
NLP |
2009-11-13 11:45 |
Kagoshima |
|
Anisotropic Spike Propagation by STDP and Inhibition in a Recurrent Network. Toshikazu Samura, Hatsuo Hayashi (Kyushu Inst. of Tech.) NLP2009-105 |
In the area CA1, spikes propagate along the longitudinal axis of the hippocampus.
It is highly possible that the propa... [more] |
NLP2009-105 pp.133-138 |