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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE 2018-06-22
10:10
Tokyo LIFULL Co., Ltd. [Short Paper] Pattern Analysis of Stock Price Increase by Hit Products -- Case Study of LOVELIVE! --
Soma Tashiro, Yukari Shirota (Gakushuin Univ) DE2018-1
Abstract When a popularity or demand of a product is drastically increasing in the market, a SNS volume is also increas... [more] DE2018-1
pp.1-4
KBSE 2017-01-24
14:05
Tokyo Kikai-Shinko-Kaikan Bldg. Removal of Spike-like noise in Functional near-infrared spectroscopy
Yuya Sekiguchi, Kiyoshi Hoshino (Univ.Tsukuba), Motomasa Tomida, Hajime Kotani (Crescent,inc.) KBSE2016-38
In this paper, we propose a filter which removes spike-like noise from an fNIRS signal using an algorithm based around a... [more] KBSE2016-38
pp.43-48
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Root problem of image cognition -- Spike code flow map in cultured neuronal networks --
Shinichi Tamura (NBL), Yoshi Nishitani (Osaka Univ.), Chie Hosokawa (AIST), Tomomitsu Miyoshi, Hajime Sawai (Osaka Univ.), Takuya Kamimura (NBL), Yasushi Yagi (Osaka Univ.), Yuko Mizuno-Matsumoto (Univ. Hyogo), Yen-Wei Chen (Ritsumei Univ.) MI2014-66
It’s important to investigate natural intelligence how the signal/ information is flown in neuronal network. We observed... [more] MI2014-66
pp.67-72
MBE 2015-01-22
16:05
Kumamoto Kumamoto University Experimental analyses on linear response characteristics of mouse retinal ganglion cells
Yuki Naruto, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2014-104
The vertebrate retina processes visual information contained in the outside world image by the multi-channel parallel ne... [more] MBE2014-104
pp.53-58
NC, MBE
(Joint)
2014-03-18
10:20
Tokyo Tamagawa University Theory of firing distribution with common noise originating from synaptic connectivity
Ryo Karakida, Yasuhiko Igarashi, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2013-103
Common noise is a correlated noise input shared by multiple neurons. Biological experiments have shown that the common n... [more] NC2013-103
pp.85-90
MBE, NC
(Joint)
2012-11-17
13:55
Miyagi Tohoku University Inter-layer correlation in a feed-forward network with intra-layer common noise
Ryo Karakida, Yasuhiko Igarashi (Univ. of Tokyo), Kenji Nagata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2012-69
Intra-layer common noise leads to the synchronous firing of neurons in a feed-forward network.
The synchronous firing ... [more]
NC2012-69
pp.45-50
NC, MBE
(Joint)
2011-03-09
09:25
Tokyo Tamagawa University Estimating psychophysical decision processes with arbitrarily distributed stimuli
Osamu Watanabe (Muroran Inst. of Tech.) NC2010-181
Reverse correlation (RC), or spike-triggered average (STA), is known as a powerful method for estimating the properties ... [more] NC2010-181
pp.319-324
NC 2010-07-27
16:00
Kyoto Kyoto University Stimulus dependence of correlated trial variabilities in cat visual cortex -- Relation with the tuning of mean firing rate --
Yoshiko Maruyama, Hiroyuki Ito (Kyoto Sangyo Univ.) NC2010-40
(To be available after the conference date) [more] NC2010-40
p.63
NLP 2010-03-09
09:20
Tokyo   Reconstruction of input information using transformation from spike train to continuous-time series
Mai Suzuki, Kaori Kuroda, Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2009-159
Neurons code input information and generate spike trains. The generated spike trains reflect the input information. In t... [more] NLP2009-159
pp.9-14
NC, MBE
(Joint)
2009-03-11
09:55
Tokyo Tamagawa Univ. Correlation between output spike trains of feed forward network receiving common input
Yasuhiro Nishigaki (Tokyo Univ.), Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NC2008-115
Neuron in the brain have two ways of information coding by spike trains. One is rate coding and another is temporal codi... [more] NC2008-115
pp.69-73
MBE 2007-11-22
13:50
Miyagi Faculty of Engineering, Tohoku Univ. Multiunit recording of neuronal activity in the brainstem to investigate the mechanism of sleep-wake regulation
Motohiko Shimazaki, Akihiro Karashima, Takashi Kubo, Osamu Kikuchi, Norihiro Katayama, Mitsuyuki Nakao (Tohoku Univ) MBE2007-64
Multi-neuronal activity was recorded by using multi-electrode in the raphe and the tegmental nuclei. In these nuclei, th... [more] MBE2007-64
pp.9-12
NC 2007-10-19
13:00
Miyagi Tohoku University Analysis of postnatal development of responses in rat somatosensory cortex using slicon-multiprobe electrodes
Koji Ikezoe (Osaka Univ.), Hiroshi Tamura (Osaka Univ./JST-CREST), Fumitaka Kimura (Osaka Univ.), Ichiro Fujita (Osaka Univ./JST-CREST) NC2007-49
We examined developmental change of responses to whisker deflections in rat primary somatosensory cortex between postnat... [more] NC2007-49
pp.87-92
NLP 2007-04-25
13:00
Nagano   Estimation of neural network structures from multidimensional spike sequences
Tohru Ashizawa, Daisuke Haraki, Tohru Ikeguchi (Saitama Univ.) NLP2007-2
In neural systems, neurons interact each other.
Then, they often produce very complicated behavior.
To model or pred... [more]
NLP2007-2
pp.7-11
NC 2006-05-26
13:00
Miyagi Tohoku Univ. Statistical testing of neuronal connectivity based on spike correlation analysis
Norihiro Katayama, Osamu Kikuchi, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.)
Cross-correlation histogram (CCH) of simultaneously recorded multiple neuronal activities has widely been used to decide... [more] NC2006-1
pp.1-6
NLP 2006-01-24
14:00
Tokushima Shikoku Univ. Basic characteristics of various spike-trains from a digital spiking neuron
Yoshiaki Shimizu, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.)
The Digital Spiking Neuron (DSN) has discrete-time and -state, and is a ultra-discrete system.
The DSN can generate per... [more]
NLP2005-112
pp.81-86
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