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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online | Online | Estimation of Cognitive Function by Multi-scale Entropy Analysis in EEG Signals Yuta Iinuma, Sou Nobukawa (CIT), Kimoko Mizukami (KU), Megumi Kawaguchi (FU), Yuji Tanaka (AMH), Masato Higashima (SH), Tetuya Takahashi (FU)  NC2021-33 |
[more] | NC2021-33 pp.13-18 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 15:35 |
Online | Online | Dynamical Characteristics of Instantaneous-Frequency-Based Micro-State for EEG signals in Schizophrenia. Daiya Ebina, Sou Nobukawa (Chiba Institute of Technology), Mitsuru Kikuchi, Takashi Ikeda, Tetsuya Takahashi (Kanazawa Univ.) NC2021-34 |
[more] | NC2021-34 pp.19-23 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:00 |
Online | Online | Complexity analysis for temporal patterns of pupil diameters in neural model for ADHD Hiraku Kumano (CIT), Sou Nobukawa (CIT/NCNP), Aya Shirama (NCNP), Tetsuya Takahashi (KU), Shigenobu Toda (SU) NC2021-38 |
As major pathology of ADHD, overactivity of the locus coeruleus (LC) related to inattention are known. Moreover, pupil ... [more] |
NC2021-38 pp.37-42 |
| MBE, NC (Joint) |
2018-03-13 15:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis for Changes of Functional Connectivity in Aging by Phase Lag Index Sou Nobukawa, Toka Matsumoto (CIT), Mitsuru Kikuchi (Kanazawa Univ.), Yuji Wada, Tetsuya Takahashi (Univ. of Fukui) NC2017-86 |
Recent findings in neural network studies of the human brain support that brain function emerges from its topological fe... [more] | NC2017-86 pp.109-114 |
| NC, MBE | 2015-03-17 13:00 |
Tokyo | Tamagawa University | Network Analyses of EEG for Bands on Rhythmic Frequencies Shinya Kasakawa, Teruya Yamanishi (Fukui Univ. of Tech.), Tetsuya Takahashi (Kanazawa Univ.), Kanji Ueno (Univ. of Fukui), Mitsuru Kikuchi (Kanazawa Univ.), Haruhiko Nishimura (Univ. of Hyogo) MBE2014-155 NC2014-106 |
The analyses on synchronization phenomena are recently attempted by taking advantage of the theory of complex networks. ... [more] | MBE2014-155 NC2014-106 pp.217-222 |
| NC, MBE (Joint) |
2009-11-12 10:00 |
Miyagi | Tohoku Univ. | A Hard Real-Time Neuronal Spike Sorting System by Using Complex-Valued ICA Yasushi Shiraishi, Norihiro Katayama, Tetsuya Takahashi, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) NC2009-50 |
[more] | NC2009-50 pp.1-6 |
| NC | 2007-10-19 10:20 |
Miyagi | Tohoku University | A Real-Time Neuronal Spike Sorting System using complex ICA for Multi-site Multi-unit Recording Data Yasushi Shiraishi, Norihiro Katayama, Tetsuya Takahashi, Osamu Kikuchi, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) NC2007-47 |
Multi-site multi-unit recording method using multi-channel electrodes have been widely used for brain-machine interface ... [more] | NC2007-47 pp.75-80 |
| MBE | 2006-11-22 17:30 |
Miyagi | Tohoku Univ. | Wavelet Transform-based Neuronal Spike Sorting Method for Multi-channel Multi-unit Recording Data Tetsuya Takahashi, Norihiro Katayama, Osamu Kikuchi, Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) |
[more] | MBE2006-82 pp.65-68 |
| NLP | 2006-03-21 11:40 |
Tokyo | Hosei Univ.(Ichigaya Campus) | Evaluating progress of reinforcement learning using recurrence plots Tetsuya Takahashi, Masaharu Adachi (TDU) |
(To be available after the conference date) [more] | NLP2005-155 pp.25-30 |
| NLP | 2005-01-24 16:15 |
Kagawa | Kagawa Univ. | * Tetsuya Takahashi, Masaharu Adachi (Tokyo Denki Univ.) |
Reinforcement learning is a kind of learning systems which can deal with an unknown environment.In the reinforcement lea... [more] | NLP2004-95 pp.35-40 |
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