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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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