Rchr
J-GLOBAL ID：201101047271320453
Update date: Oct. 31, 2024
Shinozaki Takashi
シノザキ タカシ | Shinozaki Takashi
Affiliation and department：
Job title：
Associate Professor
Research field (3)：
Intelligent informatics
, Cognitive sciences
, Neuroscience - general
Research keywords (5)：
Neural Network
, Artificial Intelligence
, Deep Learning
, Computational Neuroscience
, Vision
Research theme for competitive and other funds (4)：
- 2021 - 2024 Study on the mechanisms of #TheDress phenomenon by using DNN
- 2020 - 2023 脳における情報の高効率なゲーティング機構の解明
- 2015 - 2018 Measurement of spatial distribution of visual attention by using SSVEP evoked by dichoptic stimulation
- 2012 - 2015 Investigation of the temporal dynamics of visual perception by brain responses under binocular rivalry
Papers (30)：
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Chanseok Lim, Mikio Inagaki, Takashi Shinozaki, Ichiro Fujita. Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression. Scientific Reports. 2023. 13. 1
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Mikio Inagaki, Tatsuro Ito, Takashi Shinozaki, Ichiro Fujita. Convolutional neural networks reveal differences in action units of facial expressions between face image databases developed in different countries. Frontiers in Psychology. 2022. 13
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Takashi Shinozaki. Biologically motivated learning method for deep neural networks using hierarchical competitive learning. Neural Networks. 2021. 144. 271-278
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Ken-ichi Okada, Kenichiro Miura, Michiko Fujimoto, Kentaro Morita, Masatoshi Yoshida, Hidenaga Yamamori, Yuka Yasuda, Masao Iwase, Mikio Inagaki, Takashi Shinozaki, et al. Impaired inhibition of return during free-viewing behaviour in patients with schizophrenia. Scientific Reports. 2021. 11. 1. 3237-3237
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Hirokazu Takahashi, Ali Emami, Takashi Shinozaki, Naoto Kunii, Takeshi Matsuo, Kensuke Kawai. Convolutional neural network with autoencoder-assisted multiclass labelling for seizure detection based on scalp electroencephalography. Computers in Biology and Medicine. 2020. 125. 104016-104016
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MISC (12)：
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木下学, 木下学, 福間良平, 柳澤琢史, 柳澤琢史, 篠崎隆志, 貴島晴彦, 高橋雅道, 成田善孝, 有田英之, et al. 国内大規模画像コホートを用いた人工知能によるGrade II-III神経膠腫の画像分子診断. 日本脳腫瘍学会プログラム・抄録集. 2017. 35th. 83
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Feedforward supervised learning for deep neural networks with local competitiveness information. 2016. 116. 120. 229-234
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SHINOZAKI Takashi, YOKOTA Yusuke, NARUSE Yasushi. Portable BMI System using Phase Template Matching Analysis of Steady State Visual Evoked Potential. IEICE technical report. Neurocomputing. 2015. 114. 515. 211-216
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A novel learning method with feedforward supervisory signal. 2014. 28. 1-4
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Takashi Shinozaki, Yasushi Naruse. Phase tagging for single trial MEG responses under binocular rivalry. I-PERCEPTION. 2014. 5. 4. 380-380
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Patents (3)：
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脳波計測用ヘッドギア
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階層型ニューラルネットワークの学習システム及び方法
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脳波計測用電極、脳波計測用電極を備える脳波計測用電極付キャップ
Lectures and oral presentations (22)：
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農作物の画像を対象としたディープラーニング入門
(農林水産省 次世代施設園芸地域展開促進事業 植物工場人材育成プログラム 2020)
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脳のしくみと人工知能
(和歌山大学 世界の情報通信研究を知る 2020)
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脳に学ぶ次世代 AI 技術
(大阪国際サイエンスクラブ 金曜サイエンスサロン 2020)
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深層学習と脳の視覚情報処理
(九州工業大学 生命体工学セミナー 2020)
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農作物の画像を対象としたディープラーニング入門
(農林水産省 次世代施設園芸地域展開促進事業 植物工場人材育成プログラム 2019)
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Education (2)：
- 2000 - 2006 University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering
- 1996 - 2000 Tokyo University of Science Faculty of Science Department of Applied Physics
Professional career (1)：
Work history (5)：
- 2022/04 - 現在 Kindai University Faculty of Infomatics Associate Professor
- 2010/12 - 2022/03 National Institute of Information and Communications Technology Center for Information and Neural Networks Researcher
- 2010/08 - 2010/11 RIKEN BSI Temporal Researcher
- 2009/04 - 2010/07 Center for Neural Science, New York University Postdoctral Fellow
- 2006/04 - 2009/03 RIKEN BSI Special Postdoctoral Research Fellow
Committee career (6)：
Awards (4)：
- 2022/07 - Japanese Neural Network Society Best paper award Biologically motivated learning method for deep neural networks using hierarchical competitive learning
- 2022/07 - Japanese Neural Network Society Excellent research award Explaining coarse visual processing in the subcortical pathway with convolutional neural networks
- 2019/09 - 日本神経回路学会 最優秀研究賞 顔表情弁別を行う畳み込みニューラルネットワークの内部における空間周波数特性
- 2017/09 - 日本神経回路学会 優秀研究賞 局所的な競合度と順行伝播する教師信号で学習するディープニューラルネットワーク
Association Membership(s) (3)：
THE JAPAN NEUROSCIENCE SOCIETY
, VISION SOCIETY OF JAPAN
, JAPANESE NEURAL NETWORK SOCIETY
