Rchr
J-GLOBAL ID：200901043920371492   Update date: Feb. 14, 2024

Motonobu Hattori

ハットリ モトノブ | Motonobu Hattori
Affiliation and department：
University of Yamanashi Graduate Faculty of Interdisciplinary Research Faculty of Engineering, Electrical and Electronic Information Engineering (Computer Science and Engineering)

About University of Yamanashi Graduate Faculty of Interdisciplinary Research Faculty of Engineering, Electrical and Electronic Information Engineering (Computer Science and Engineering)


Job title： Professor
Homepage URL  (1)： http://www.cil.media.yamanashi.ac.jp/
Research field  (1)： Sensitivity (kansei) informatics
Research keywords  (5)： Evolutionary Computation ,  Reinforcement learning ,  Pattern Recognition ,  Hippocampal Model ,  Associative Memory Models
Research theme for competitive and other funds  (8)：
  • 2019 - 2023 Declarative memory model between hippocampus and neocortex
  • 2016 - 2019 Transcriptional model of declarative memory from hippocampus to neocortex
  • 2013 - 2016 Hippocampal-neocortical episodic memory model
  • 2011 - 2012 神経細胞置換とカオス連想を用いた長期記憶形成のためのデュアルネットワークモデルの構築
  • 2007 - 2010 Modeling of the complementary learning systems between hippocampus and neocortex
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Papers (83)：
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MISC (50)：
  • Hiroshi Araki, Motonobu Hattori. Supervised STDP Learning for Spiking Neural Networks with Adaptive Weight Decay. Proceedings of the 83rd National Convention of IPSJ. 2021. 2. 483-484
  • Ryota Komiyama, Motonobu Hattori. Improving Adversarial Robustness Based on Adversarial Training Consideration. 電子情報通信学会技術研究報告. 2020. 83-88
  • Jumpei Takagi, Motonobu Hattori. Reducing Training Time for Distillation of DNN by Self Distillation. Proceedings of the 81st National Convention of IPSJ. 2019. 2. 455-456
  • Henmi, K, Hattori, M. Introduction of pseudorehearsal considering the distribution of environmental state for the reinforcement learning using neural network. 情報処理学会第80回全国大会. 2018. 2. 103-104
  • Negishi, T, Hattori, M. Alpine Plants Recognition with Deep Convolutional Neural Network using Saliency. 情報処理学会第80回全国大会. 2018. 2. 221-222
ｍore...
Books (1)：
  • Learning and Its Algorithm
    Morikita Publishing Co., Ltd. 2002
Lectures and oral presentations  (1)：
  • 特徴の明示的学習と検出器を利用した Adversarial Examples の防御手法
    (令和3年度電気学会東京支部学生発表会 2021)
Education (2)：
  • - 1994 Keio University 理工学研究科 電気工学専攻
  • - 1992 Keio University Faculty of Science and Technology Department of Electrical Engineering
Professional career (6)：
  • B.E. (Keio University)
  • 工学士 (慶應義塾大学)
  • M.E. (Keio University)
  • 修士(工学) (慶應義塾大学)
  • Ph.D (Engineering) (Keio University)
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Work history (6)：
  • 2020/04/01 - Professor, Faculty of Interdisciplinary Research, University of Yamanashi
  • 2007/04/01 - Associate Professor, Department of Computer Science and Media Engineering, University of Yamanashi
  • 2003/10/01 - Visiting Researcher, Center for the Neural Basis of Cognition (CNBC), Carnegie Mellon University
  • 2003/04/01 - Associate Professor, Department of Computer Science and Media Engineering, University of Yamanashi
  • 2000/04/01 - Associate Professor, Department of Computer Science and Media Engineering, Yamanashi University
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Committee career (3)：
  • 2007/05 - 2009/05 電子情報通信学会東京支部 評議員
  • 2001/04 - 2003/03 電気学会・ナチュラルコンピューテーション共同研究委員会 幹事補佐
  • 1999/04 - 2001/03 電気学会・不完全/不確実情報利用技術調査専門委員会 委員
Awards (1)：
  • 1996/02/28 - 丹羽記念会 Yasujiro Niwa Outstanding Paper Award Tokyo Denki University
Association Membership(s) (6)：
IEEE Computational Intelligence Society ,  The Institute of Electronics, Information and Communication Engineers ,  The Institute of Electrical Engineering of Japan ,  Japan Neural Network Society ,  Asia-Pacific Neural Network Society ,  International Neural Network Society
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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