Basic Information

Faculty

• Faculty of Engineering

Email Address

• Email Address

  shimazaki.hideaki.8xkyoto-u.ac.jp

Professional Memberships

• Society for Neuroscience
• 日本神経科学学会
• 日本神経回路学会

Academic Degree

• 24 Nov. 2003

  ジョンズ・ホプキンス大学修士（Neuroscience）
• 23 Mar. 2007

  京都大学博士（理学）

Academic Resume (Graduate Schools)

• 京都大学, 大学院理学研究科博士後期課程物理学・宇宙物理学専攻, 修了
• ジョンズ・ホプキンス大学, 大学院医学系研究科神経科学専攻, 修了

Academic Resume (Undergraduate School/Majors)

• 慶應義塾大学, 理工学部物理情報工学科, 卒業

Research History

• From Oct. 2022, To Present

  Kyoto University, Graduate School of Informatics, Associate Professor
• From Apr. 2020, To Sep. 2022

  Hokkaido University, Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Associate Professor (Specially-appointed)
• From Apr. 2017, To Mar. 2020

  Kyoto University, Graduate School of Informatics Department of Intelligence Science and Technology, Project-specific Associate Professor
• From Apr. 2016, To Mar. 2020

  Honda Research Institute, Senior Scientist

Profile

• Profile

  Hideaki Shimazaki is an associate professor at the Graduate School of Informatics in Kyoto University in Japan. Before that, he took joint positions in industry and academia as a senior scientist at Honda Research Institute Japan Co., Ltd. and a specially-appointed associate professor at the Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) of Hokkaido University . His research focuses on uncovering the intelligence of organisms and machines using physics, statistics, and machine learning methods, emphasizing data analysis on spiking neural activities. He received M.A. in neuroscience at Johns Hopkins University in 2003 and Ph.D. in physics at Kyoto University in 2007. After his Ph.D., he pursued postdoctoral training in computational neuroscience at RIKEN Brain Science Institute and MIT Department of Brain and Cognitive Sciences.

ID,URL

• ORCID ID

  0000-0001-7794-3064

• J-Global ID

  200901088645501295

• Researcher number

  50587409

• External link

  http://www.neuralengine.org/

researchmap URL

• https://researchmap.jp/shimazaki

Research

Research Interests

• Information Theory
• Machine Learning
• Statistical Physics
• Neural Coding

Research Areas

• Life sciences, Basic brain sciences
• Natural sciences, Applied mathematics and statistics
• Informatics, Statistical science

Papers

• State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics

  Ken Ishihara; Hideaki Shimazaki

  arXiv, Feb. 2025, Last author, Corresponding author

  
• Population coding under the scale-invariance of high-dimensional noise

  S. Amin Moosavi; Sai Sumedh; R. Hindupur; Hideaki Shimazaki

  bioRxiv, 26 Aug. 2024, Last author, Corresponding author

  
• Explosive neural networks via higher-order interactions in curved statistical manifolds

  Miguel Aguilera; Pablo A. Morales; Fernando E. Rosas; Hideaki Shimazaki

  arXiv, 05 Aug. 2024, Last author

  
• Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality

  Makio Torigoe; Tanvir Islam; Hisaya Kakinuma; Chi Chung Alan Fung; Takuya Isomura; Hideaki Shimazaki; Tazu Aoki; Tomoki Fukai; Hitoshi Okamoto

  Nature Communications, 29 Sep. 2021

  
• Neural engine hypothesis

  Shimazaki, H.

  Dynamic Neuroscience: Statistics, Modeling, and Control, 2017

  
• A projected nonlinear state-space model for forecasting time series signals

  Christian Donner; Anuj Mishra; Hideaki Shimazaki

  International Journal of Forecasting, Feb. 2025, Peer-reviewed, Last author, Corresponding author

  
• Modeling higher-order interactions in sparse and heavy-tailed neural population activity

  Ulises Rodríguez-Domínguez; Hideaki Shimazaki

  arXiv, Aug. 2023, Last author, Corresponding author

  
• Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model

  Miguel Aguilera; Masanao Igarashi; Hideaki Shimazaki

  Nature Communications, 23 Jun. 2023, Peer-reviewed, Last author

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• Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons.

  Safura Rashid Shomali; Seyyed Nader Rasuli; Majid Nili Ahmadabadi; Hideaki Shimazaki

  Communications biology, 15 Feb. 2023, Peer-reviewed, Last author, Corresponding author

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• Optimization and inference of bin widths for histogramming inelastic neutron scattering spectra

  Kazuyoshi Tatsumi; Yasuhiro Inamura; Maiko Kofu; Ryoji Kiyanagi; Hideaki Shimazaki

  Journal of Applied Crystallography, 01 Jun. 2022, Peer-reviewed, Last author

  
• Canonical neural networks perform active inference

  Takuya Isomura; Hideaki Shimazaki; Karl Friston

  Communications Biology, 11 Dec. 2020, Peer-reviewed

  
• A unifying framework for mean field theories of asymmetric kinetic Ising systems

  Miguel Aguilera; S. Amin Moosavi; Hideaki Shimazaki

  Nature Communications, 19 Jan. 2021, Peer-reviewed, Last author

  
• Hunger Potentiates the Habenular Winner Pathway for Social Conflict by Orexin-Promoted Biased Alternative Splicing of the AMPA Receptor Gene.

  Haruna Nakajo; Ming-Yi Chou; Masae Kinoshita; Lior Appelbaum; Hideaki Shimazaki; Takashi Tsuboi; Hitoshi Okamoto

  Cell reports, 23 Jun. 2020, Peer-reviewed

  
• Bayesian and thermodynamic view on dynamics of learning and recognition in organisms

  Hideaki Shimazaki

  The Brain & Neural Networks, Sep. 2019

  
• Online estimation of multiple dynamic graphs in pattern sequences

  Jimmy Gaudreaul; Hideaki Shimazaki

  2019 International Joint Conference on Neural Networks (IJCNN), 19 Jan. 2019, Peer-reviewed

  
• State-space analysis of an ising model reveals contributions of pairwise interactions to sparseness, fluctuation, and stimulus coding of monkey V1 neurons

  Gaudreault, J.; Shimazaki, H.

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Oct. 2018, Peer-reviewed, Last author

  
• The principles of adaptation in recognition and behavior

  Hideaki Shimazaki

  The Brain & Neural Networks, Sep. 2018

  
• How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Hideaki Shimazaki; Seyyed Nader Rasuli

  Journal of Computational Neuroscience, 01 Apr. 2018, Peer-reviewed

  
• Computational Neuroscience: Mathematical and Statistical Perspectives

  Robert E. Kass; Shun-Ichi Amari; Kensuke Arai; Emery N. Brown; Casey O. Diekman; Markus Diesmann; Brent Doiron; Uri T. Eden; Adrienne L. Fairhall; Grant M. Fiddyment; Tomoki Fukai; Sonja Grün; Matthew T. Harrison; Moritz Helias; Hiroyuki Nakahara; Jun-Nosuke Teramae; Peter J. Thomas; Mark Reimers; Jordan Rodu; Horacio G. Rotstein; Eric Shea-Brown; Hideaki Shimazaki; Shigeru Shinomoto; Byron M. Yu; Mark A. Kramer

  Annual Review of Statistics and Its Application, 07 Mar. 2018, Peer-reviewed

  
• Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities

  HaDi MaBouDi; Hideaki Shimazaki; Martin Giurfa; Lars Chittka

  PLOS COMPUTATIONAL BIOLOGY, Jun. 2017, Peer-reviewed

  
• Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations

  Christian Donner; Klaus Obermayer; Hideaki Shimazaki

  PLOS COMPUTATIONAL BIOLOGY, Jan. 2017, Peer-reviewed, Last author

  
• Similarity in Neuronal Firing Regimes across Mammalian Species

  Yasuhiro Mochizuki; Tomokatsu Onaga; Hideaki Shimazaki; Takeaki Shimokawa; Yasuhiro Tsubo; Rie Kimura; Akiko Saiki; Yutaka Sakai; Yoshikazu Isomura; Shigeyoshi Fujisawa; Ken-ichi Shibata; Daichi Hirai; Takahiro Furuta; Takeshi Kaneko; Susumu Takahashi; Tomoaki Nakazono; Seiya Ishino; Yoshio Sakurai; Takashi Kitsukawa; Jong Won Lee; Hyunjung Lee; Min Whan Jung; Cecilia Babul; Pedro E. Maldonado; Kazutaka Takahashi; Fritzie I. Arce-McShane; Callum F. Ross; Barry J. Sessle; Nicholas G. Hatsopoulos; Thomas Brochier; Alexa Riehle; Paul Chorley; Sonja Gruen; Hisao Nishijo; Satoe Ichihara-Takeda; Shintaro Funahashi; Keisetsu Shima; Hajime Mushiake; Yukako Yamane; Hiroshi Tamura; Ichiro Fujita; Naoko Inaba; Kenji Kawano; Sergei Kurkin; Kikuro Fukushima; Kiyoshi Kurata; Masato Taira; Ken-Ichiro Tsutsui; Tadashi Ogawa; Hidehiko Komatsu; Kowa Koida; Keisuke Toyama; Barry J. Richmond; Shigeru Shinomoto

  JOURNAL OF NEUROSCIENCE, May 2016, Peer-reviewed

  
• Social conflict resolution regulated by two dorsal habenular subregions in zebrafish

  Ming-Yi Chou; Ryunosuke Amo; Masae Kinoshita; Bor-Wei Cherng; Hideaki Shimazaki; Masakazu Agetsuma; Toshiyuki Shiraki; Tazu Aoki; Mikako Takahoko; Masako Yamazaki; Shin-ichi Higashijima; Hitoshi Okamoto

  SCIENCE, Apr. 2016, Peer-reviewed

  
• Representation of higher-order statistical structures in natural scenes via spatial phase distributions

  HaDi MaBouDi; Hideaki Shimazaki; Shun-ichi Amari; Hamid Soltanian-Zadeh

  VISION RESEARCH, Mar. 2016, Peer-reviewed

  
• Approximate Inference Method for Dynamic Interactions in Larger Neural Populations

  Christian Donner; Hideaki Shimazaki

  NEURAL INFORMATION PROCESSING, ICONIP 2016, PT III, 2016, Peer-reviewed

  
• Neurons as an Information-theoretic Engine

  Hideaki Shimazaki

  arXiv, Dec. 2015

  
• Simultaneous silence organizes structured higher-order interactions in neural populations

  Hideaki Shimazaki; Kolia Sadeghi; Tomoe Ishikawa; Yuji Ikegaya; Taro Toyoizumi

  Scientific Reports, Apr. 2015, Peer-reviewed

  
• 

  Single-trial estimation of stimulus and spike-history effects on time-varying ensemble spiking activity of multiple neurons: A simulation study

  Hideaki Shimazaki

  Journal of Physics: Conference Series, 2013, Peer-reviewed, Invited

  
• 

  State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data

  Hideaki Shimazaki; Shun-ichi Amari; Emery N. Brown; Sonja Gruen

  PLOS COMPUTATIONAL BIOLOGY, Mar. 2012, Peer-reviewed

  
• 

  Kernel bandwidth optimization in spike rate estimation

  Hideaki Shimazaki; Shigeru Shinomoto

  JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Aug. 2010, Peer-reviewed

  
• STATE-SPACE ANALYSIS ON TIME-VARYING CORRELATIONS IN PARALLEL SPIKE SEQUENCES

  Hideaki Shimazaki; Shun-ichi Amari; Emery N. Brown; Sonja Gruen

  2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, Peer-reviewed, Invited

  
• A method for selecting the bin size of a time histogram

  Hideaki Shimazaki; Shigeru Shinomoto

  NEURAL COMPUTATION, Jun. 2007, Peer-reviewed

  
• A recipe for optimizing a time-histogram

  Shimazaki H; Shinomoto S

  Advances in Neural Information Processing Systems, 2007, Peer-reviewed

  
• Correlated Multiplicative Modulation in Coupled Oscillator Systems : A Model of Selective Attention(Oscillation, Chaos and Network Dynamics in Nonlinear Science) :

  SHIMAZAKI Hideaki; NIEBUR Ernst

  Progress of theoretical physics. Supplement, 2006

  
• Phase transitions in multiplicative competitive processes

  Hideaki Shimazaki; Ernst Niebur

  Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Jul. 2005, Peer-reviewed

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• Spatial analysis of spike-timing-dependent LTP and LTD in the CAI area of hippocampal slices using optical imaging

  Minoru Tsukada; Takeshi Aihara; Yuki Kobayashi; Hideaki Shimazaki

  HIPPOCAMPUS, 2005, Peer-reviewed, Last author

  
• Spatial Distributions of Hippocampal LTP/LTD Induced Electrically from Schaffer Collaterals and Stratum Oriens with Relative Timing

  KABAYASHI Yuki; SHIMAZAKI Hide-aki; AIHARA Takeshi; TSUKADA Minoru

  The Brain & Neural Networks, 05 Jun. 2001

  

Misc.

• 状態空間-キネティックイジングモデルによる非平衡神経スパイク時系列の解析

  石原憲; 島崎秀昭

  信学技報, 22 Jun. 2023, Last author

  
• Locally Adaptive Kernel Density Estimation on Quasi-Elastic Neutron Scattering Energy Profiles

  K. Tatsumi; M. Matsuura; H. Shimazaki; Y. Inamura

  MLF Annual Report 2020, 2021

  
• The principles of adaptation in organisms and machines II: Thermodynamics of the Bayesian brain

  Hideaki Shimazaki

  arXiv, 23 Jun. 2020, Lead author

  
• Structured Mean-field Variational Inference and Learning in Winner-take-all Spiking Neural Networks

  Shashwat Shukla; Hideaki Shimazaki; Udayan Ganguly

  14 Nov. 2019

  
• 2019 年度時限研究会 システム神経科学スプリングスクール 2019 (SNSS2019) 実施報告書

  中江健; 浦久保秀俊; 東広志; 田中康裕; 島崎秀昭; 尾藤晴彦; 石井信

  日本神経回路学会誌, Sep. 2019

  
• 知覚の時間構造: 認知心理学・神経生理学・計算論の視点から

  島崎秀昭; 小川正; 熊田孝恒

  日本神経回路学会誌, Sep. 2019

  
• The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics

  Hideaki Shimazaki

  arXiv, 28 Feb. 2019

  
• Uncovering network architecture using an exact statistical input-output relation of a neuron model

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Seyyed Nader Rasuli; Hideaki Shimazaki

  bioRxiv, Nov. 2018

  
• 特集「自由エネルギー原理入門」

  島崎 秀昭; 吉田 正俊; 田口 茂; 磯村 拓哉; 田中 琢真; 大羽 成征; 乾 敏郎

  日本神経回路学会誌, Sep. 2018

  
• 2017 年度時限研究会 「脳の理論から身体・世界へ:行動と認識への再挑戦」実施報告

  島崎 秀昭; 大羽 成征; 吉田 正俊

  日本神経回路学会誌, Dec. 2017, Invited

  
• Learning Complex Representations from Spatial Phase Statistics of Natural Scene

  MaBouDi H; Shimazaki H; Soltanian-Zadeh H; Amari S

  bioRxiv, Mar. 2017

  
• Simultaneous silence organizes structured higher-order interactions in neural populations (vol 5, 9821, 2015)

  Hideaki Shimazaki; Kolia Sadeghi; Tomoe Ishikawa; Yuji Ikegaya; Taro Toyoizumi

  SCIENTIFIC REPORTS, Oct. 2015

  
• 『留学』という選択

  島崎 秀昭

  脳科学若手の会, 25 Jan. 2014, Invited

  
• F1000Prime Recommendation

  Fukai T; Shimazaki

  Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex, Jan. 2014, Invited

  
• Analysis of Neural Activities using Statistical Models

  SHIMAZAKI Hideaki

  Seibutsu Butsuri, 2013, Peer-reviewed, Invited

  
• Analysis of Multiple Neural Spike Train Data using the Log-linear Model : From Stationary to Time-Varying Spike Correlation

  Shimazaki H

  The Brain & neural networks, Dec. 2011, Peer-reviewed, Invited

  
• Characterizing neuronal firing with the rate and the irregularity

  Shigeru Shinomoto; Hideaki Shimazaki; Takeaki Shimokawa

  NEUROSCIENCE RESEARCH, 2010

  
• Estimating time-dependent higher-order interactions in parallel spike trains

  Hideaki Shimazaki; Sonja Gruen

  NEUROSCIENCE RESEARCH, 2008

  
• 離散力学系の競争モデルに見られる相転移 : 統計物理学の視点から(経済物理学II-社会・経済への物理学的アプローチ-,京都大学基礎物理学研究所2005年度後期研究会)

  島崎秀昭

  物性研究, Jul. 2006

  Access this misc :

  
• 脳と心のメカニズム第六回冬のワークショップ参加報告

  島崎秀昭

  日本神経回路学会誌 = The Brain & neural networks, Jun. 2006

  
• 離散力学系の競争モデルに見られる相転移 : 統計物理学の視点から(経済物理学II-社会・経済への物理学的アプローチ-,京都大学基礎物理学研究所2005年度後期研究会)

  島崎秀昭

  素粒子論研究, 20 May 2006

  
• 25pYF-4 Phase transitions observed in competition modeled by a discrete dynamical system and its approach to the transition point by natural selection

  Shimazaki Hideaki

  Meeting abstracts of the Physical Society of Japan, 04 Mar. 2005

  
• The spatial distribution of LTP and LTD induced by input-output coincidence in hippocampal CA1 area

  KOBAYASHI Yuki; SHIMAZAKI Hide-aki; OGIKUBO Yoshinobu; MIZOGUCHI Kenji; AIHARA Takeshi; TSUKADA Minoru

  IEICE technical report. Neurocomputing, 15 Mar. 2000

  
• Identification of LTP/LTD Characteristic Curve by Spike Timing : Approach with Optical Recording Method

  SHIMAZAKI Hide-aki; KOBAYASHI Yuki; OSAWA Sayaka; MORITA Minoru; MIZOGUCHI Kenji; AIHARA Takeshi; TSUKADA Minoru

  IEICE technical report. Neurocomputing, 15 Mar. 2000

  

Presentations

• Nonlinearity, higher-order interactions, and divergence of neural activity

  Hideaki Shimazaki

  JNNS2024 Satellite symposium: International workshop on Mechanistic Foundations on Neural Coding, 10 Sep. 2024

  
• Higher-order interactions reveal the hidden shared motifs across mouse brain regions

  Safura Rashid Shomali; S. Nader Rasuli; Hideaki Shimazaki; Sadra Sadeh

  2024 International Conference on Mathematical Neuroscience, 11 Jun. 2024

  
• Uncovering neural circuit’s motifs and animal states using higher-order interactions

  Safura Rashid Shomali; S. Nader Rasuli; Hideaki Shimazaki; Sadra Sadeh

  the Bernstein conference in Comp Neuro 2024, 29 Sep. 2024

  
• 高次元ノイズ相関のスケール則のもとでの集団符号化

  島崎秀昭

  生理研研究会「大規模脳活動計測」, 04 Sep. 2024, Invited

  
• Denoising of QENS energy profiles by a variable kernel density estimation

  巽一厳; 松浦直人; 山田武; 川北信至; 島崎秀昭

  量子ビームサイエンスフェスタ, 06 Mar. 2024

  
• 

  Emergence of sparse coding via dendritic computation in a population of canonical visual binary neurons

  Ulises Rodrıguez-Domınguez; Hideaki Shimazaki

  NeuroVisión 2023: Joint Meeting on Neuroimage Processing and Computational Vision, 26 Oct. 2023, Mathematics Research Center (CIMAT) and the Institute of Neurobiology of the UNAM

  
• Application of Variable Kernel Density Estimation to Analyses of Quasi Elastic Neutron Scattering

  K. Tatsumi; M. Matsuura; T. Yamada; Y. Kawakita; H. Shimazaki

  日本中性子科学会第23回年会（JSNS2023）, Sep. 2023, 日本中性子科学会

  
• 非定常・非対称な機能的結合の推定に基づく神経スパイク活動の不可逆性の検証

  石原憲; 島崎秀昭

  第33回日本神経回路学会全国大会, 05 Sep. 2023, 日本神経回路学会

  
• Analysis of nonequilibrium neural spiking activity using a state-space kinetic Ising model

  Ken Ishihara; Hideaki Shimazaki

  ニューロコンピューティング研究会（NC）, 01 Jul. 2023, ニューロコンピューティング研究会（NC）

  
• 神経符号化研究の歴史と最前線

  島崎秀昭

  第33回日本神経回路学会全国大会 サテライトシンポジウム, 03 Sep. 2023

  
• Deciphering hidden circuits from higher-order statistics of neural activity

  Hideaki Shimazaki

  CSN Virtual Seminars, 05 Jul. 2023, Computational and Systems Neuroscience (INM-6) & Theoretical Neuroscience (IAS-6), Forschungszentrum Jülich, Invited

  
• Introduction to computational theories of the brain: from the efficient coding hypothesis to the Bayesian brain and free energy principle

  Hideaki Shimazaki

  第46回日本神経科学大会, 04 Aug. 2023, Invited

  
• 大脳皮質局所回路の結合推定と符号化方式

  島崎秀昭

  第37回 全脳アーキテクチャ勉強会, 17 Feb. 2023, WBA勉強会実行委員会, Invited

  
• 脳の認識のダイナミクスと時間遅れ

  島崎秀昭

  2022年度 RIMS 共同研究（公開型）「時間遅れ系と数理科学：理論と応用の新たな展開に向けて」, 17 Nov. 2022, Invited

  
• 神経活動の高次統計量から回路構造を読み解く

  島崎秀昭

  日本神経回路学会 オータムスクールASCONE2022, 14 Nov. 2022, 日本神経回路学会, Invited

  
• 脳の自由エネルギー原理：背景と応用

  島崎秀昭

  応用脳科学コンソーシアム アドバンスコース「脳に学ぶAI」, 09 Sep. 2022, Invited

  
• 神経細胞集団活動の数理とデータ解析

  島崎秀昭

  日本応用数理学会 2022年度年会, 08 Sep. 2022

  
• Consciousness and the thermodynamics of the Bayesian brain

  Hideaki Shimazaki

  International Symposium on Artificial Intelligence and Brain Science 2022, 05 Jul. 2022, Invited

  
• The state-space kinetic Ising model for nonequilibrium neuronal dynamics

  Ken Ishihara; Hideaki Shimazaki

  NEURO2022, 02 Jul. 2022

  
• State-space analysis for neural population dynamics

  Hideaki Shimazaki; Ken Ishihara; Ulises Rodriguez Dominguez; Sai Sumedh Hindupur; Miguel Aguilera; S. Amin Moosavi; Magalie Tatischeff; Jimmy Gaudreault; Christian Donner

  The 45th Annual Meeting of the Japan Neuroscience Society (Neuro 2022), 30 Jun. 2022, Invited

  
• 

  Stochastic thermodynamics of a non-equilibrium Sherrington-Kirkpatrick model

  Miguel Aguilera; Masanao Igarashi; Hideaki Shimazaki

  The Workshop on Stochastic Thermodynamics III, 26 May 2022

  
• Application of adaptive kernel density estimation to quasi-elastic neutron scattering energy profiles

  巽一厳; 松浦真人; 島崎秀昭; 稲村泰弘

  2021年度量子ビームサイエンスフェスタ

  
• 標準リカレントネットワークモデルでつなぐ皮質回路の構造・機能・作動原理

  島崎秀昭

  生理学研究所研究会「大脳皮質を中心とした神経回路：構造と機能、その作動原理」, Dec. 2021, 生理学研究所, Invited

  
• Bayesian Computation of Generic Neural Binary Code by Local Competition

  Ulises Rodriguez Dominguez; Hideaki Shimazaki

  The 44th Annual Meeting of the Japan Neuroscience Society (Neuro 2021), 31 Jul. 2021

  
• A unifying approach from physics and machine learning to uncovering neuronal circuits, information coding, and adaptation principles of organisms

  Hideaki Shimazaki

  07 Jun. 2021, OIST, Invited

  
• An information geometry approach for unifying mean field theories of asymmetric kinetic Ising systems

  Miguel Aguilera; S. Amin Moosavi; Hideaki Shimazaki

  Entropy 2020: The Scientific Tool of the 21st Century, 07 May 2021

  
• 非定常・非平衡イジングモデルによる神経細胞集団活動の解明

  島崎秀昭

  データ駆動生物学ワークショップ, 23 Mar. 2021, 本田直樹, Invited

  
• Revealing hidden microcircuits using higher-order interactions of neuronal activity

  Safura Rashid Shomali; S. Nader Rasuli; Hideaki Shimazaki

  The 3rd Sharif Neuroscience Symposium, 04 Mar. 2021

  
• 脳への計算論的アプローチ概説：視覚野の理論を中心に

  島崎秀昭

  日本視覚学会2021年冬季大会, 21 Jan. 2021, 日本視覚学会, Invited

  
• 神経活動の数理モデリングで回路・情報，そして意識へ迫る

  島崎秀昭

  CHAIN Webiner, 03 Aug. 2020, 人間知・脳・AI研究教育センター

  
• Higher-order interactions induced by strong shared inputs

  Safura Rashid Shomali, Seyyed; Nader Rasuli; Hideaki Shimazaki

  Organization for Computational Neurosciences 2020 (CNS*2020), 18 Jul. 2020

  
• Effects of structured neural correlations in population coding: beneficial or detrimental?

  Seyedamin Moosavi; Magalie Tatischeff; Bingyue Zhu; Hideaki Shimazaki

  Computational and Systems Neuroscience (Cosyne) 2020, 01 Mar. 2020

  
• Inferring network motifs from neural activity using analytic input-output relation of LIF neurons

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Seyyed Nader Rasuli; Hideaki Shimazaki

  Computational and Systems Neuroscience (Cosyne) 2020, 28 Feb. 2020

  
• Thermodynamics of the Bayesian brain: A new paradigm for quantifying perceptual capacity of neural dynamics

  Hideaki Shimazaki

  Computational Principles in Active Perception and Reinforcement Learning in the Brain, 14 Feb. 2020, MACS International Symposium, Invited

  
• The brain as an information-theoretic engine: A new paradigm for quantifying perceptual capacity of neural dynamics

  Hideaki Shimazaki

  Combining Information theoretic Perspectives on Agency, 28 Jan. 2020, Invited

  
• Past and Future of Theoretical Neuroscience: From Bayesian Brain Hypothesis to Neural Engine

  島崎 秀昭

  Singularity Salon, 07 Dec. 2019, Singularity Salon, Invited

  
• Past and Future of Theoretical Neuroscience: From Bayesian Brain Hypothesis to Neural Engine

  島崎 秀昭

  Singularity Salon, 16 Nov. 2019, Singularity Salon, Invited

  
• Dynamic neural interactions revealed by the state-space Ising model

  Hideaki Shimazaki

  The 7th International Congress on Cognitive Neurodynamics, 29 Sep. 2019

  
• Judging between Excitation and Inhibition: Identifying Local Network Architecture by an Analytic Pre-Post Relation

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Seyyed Nader Rasuli; Hideaki Shimazaki

  Bernstein Conference 2019, 18 Sep. 2019

  
• 

  Unifying framework for mean field theories of asymmetric kinetic Ising systems

  Miguel Aguilera; Amin Seyed Moosavi; Hideaki Shimazaki

  15th Granada Seminar: Stochastic and Collective Effects in Neural Systems, 17 Sep. 2019

  
• 学習と認識の熱力学：ニューラルエンジンとはなにか？

  島崎 秀昭

  生理研研究会2019 認知神経科学の先端 「脳の理論から身体・世界へ」, 02 Sep. 2019, 生理学研究所

  
• 

  Visualizing dynamics of cooperative activities of neurons for neural coding studies

  Hideaki Shimazaki

  Data Science, Statistics, & Visualisation (DSSV2019), 13 Aug. 2019, International Association for Statistical Computing, Invited

  
• Online Estimation of Multiple Dynamic Graphs in Pattern Sequences

  Jimmy Gaudreault; Arunabh Saxena; Hideaki Shimazaki

  The 2019 International Joint Conference on Neural Networks (IJCNN), 14 Jul. 2019, INNS, IEEE CIS

  
• 神経細胞集団活動の統計解析：脳の熱力学に向けて

  島崎 秀昭

  サロン・ド・脳, 07 Jun. 2019, サロン・ド・脳運営委員会

  
• Network architecture underlying sparse neural activity characterized by structured higher-order interactions

  Hideaki Shimazaki

  26 Mar. 2019, Kenji Doya

  
• Thermodynamic analysis of neural populations by the state-space Ising model

  Magalie Tatischeff; Jimmy Gaudreault; Christian Donner; Hideaki Shimazaki

  Consciousness Research Network (CoRN 2019), 23 Feb. 2019

  
• Role of gain-control and neural correlations in efficient stimulus coding

  S. Amin Moosavi; Hideaki Shimazaki

  Consciousness Research Network (CoRN 2019), 23 Feb. 2019

  
• 社会神経科学的アプローチによる精神疾患の社会性障害の理解

  島崎秀昭

  平成30年度生理研研究会 第8回社会神経科学研究会, 29 Nov. 2018, 高橋宗良（玉川大学 特任准教授）・定藤規弘（生理研 教授）, Invited

  
• Thermodynamic analyses of neural populations

  Hideaki Shimazaki; Magalie Tatischeff; Jimmy Gaudreault; Christian Donner

  Analysis and Synthesis for Human/Artificial Cognition and Behaviour, 22 Oct. 2018

  
• State-space analysis of an Ising model reveals contributions of pairwise interactions to sparseness, fluctuation, and stimulus coding of monkey V1 neurons

  Jimmy Gaudreault; Hideaki Shimazaki

  The 27th International Conference on Artificial Neural Networks (ICANN2018), 05 Oct. 2018, European Neural Network Society

  
• The active inference in decision making by adult zebrafish revealed by in-vivo imaging of the telencephalic neural activities in the closed-loop virtual reality environment

  Makio Torigoe; Islam Tanvir; Hisaya Kakinuma; Fung Chi Chung Alan; Takuya Isomura; Hideaki Shimazaki; Tazu Aoki; Taro Toyoizumi; Tomoki Fukai; Hitoshi Okamoto

  The 41st Annual Meeting of the Japan Neuroscience Society, 27 Jul. 2018

  
• スパースな集団活動を生み出す神経ネットワーク構造

  島崎 秀昭

  第6回 数理モデリング研究会, 06 Jul. 2018

  
• State-space analysis of an Ising model reveals contributions of pairwise interactions to sparseness, fluctuation, and stimulus coding of monkey V1 neurons

  Jimmy Gaudreault; Arunabh Saxena; Hideaki Shimazaki

  Mechanisms of Brain and Mind The 18th winter workshop, 09 Jan. 2018

  
• Network architectures underlying variable, sparse population activity of neurons

  HIDEAKI SHIMAZAKI

  Fluctuations of event occurrences in a variety of networks, 15 Nov. 2017, Shigeru Shinomoto (Kyoto University), Takaaki Aoki (Kagawa University) Ryota Kobayashi (NII), Taro Takaguchi (NICT), Hideaki Shimazaki (Kyoto University, HRI)

  
• 神経細胞集団活動の統計数理

  島崎 秀昭

  玉川大学 脳科学ワークショップ, 27 Sep. 2017, 玉川大学, Invited

  
• In-vivo imaging of telencephalic neural activities in adult zebrafish performing decision making task in the closed-loop virtual reality environment

  Makio Torigoe; Tanvir Islam; Hisaya Kakinuma; Hideaki Shimazaki; Chi Chung Alan Fung; Tazu Aoki; Tomoki Fukai; Hitoshi Okamoto

  Neuroscience2017, 23 Jul. 2017, Japan Neuroscience Society

  
• 神経活動データの時系列モデリング入門

  島崎 秀昭

  第8回脳科学若手の会合宿, 04 Mar. 2017, 脳科学若手の会, Invited

  
• Exact analysis of spike­timing and higher­order interactions of neurons at the threshold regime suggests network architecture underlying sparse population activity

  S. R. SHOMALI; M. NILI AHMADABADI; S. RASULI; H. SHIMAZAKI

  Society for Neuroscience 2016, 12 Nov. 2016

  
• Estimating dynamic functional networks of larger neural populations

  C. DONNER; H. SHIMAZAKI

  Society for Neuroscience 2016, 12 Nov. 2016

  
• Large-scale inference of time-varying neural interactions

  Christian Donner; Hideaki Shimazaki

  ICONIP2016, 16 Oct. 2016

  
• Modelling elemental learning of honeybees by spiking neural networks

  HaDi MaBouDi; Hideaki Shimazaki; Lars Chittka

  EURBEE 2016, 07 Sep. 2016

  
• Analytical study of correlation and Fisher information caused by common inputs

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Hideaki Shimazaki; S Nader Rasuli

  the 39th Annual Meeting of the Japan Neuroscience Society, 22 Jul. 2016

  
• Exact spike-timing distribution and its usage in neural structure identification

  S. Rashid Shomali; M. Nili Ahmadabadi; H. Shimazaki; S.N. Rasuli

  Statistical physics methods in biology and computer science (Satellite meeting of StatPhys 2016, 13 Jul. 2016

  
• Toward thermodynamic principles of consciousness

  HIDEAKI SHIMAZAKI

  Seminar, 07 Jul. 2016, Christopher L Buckley

  
• Higher-order interactions of neural populations

  HIDEAKI SHIMAZAKI

  Seminar at TNJC, 05 Jul. 2016, Mehdi Keramati

  
• Population coding of neurons: Dynamics, higher-order interactions, and mechanisms

  HIDEAKI SHIMAZAKI

  Seminar, 04 Jul. 2016, Lars Chittka

  
• Exact spike-timing distribution reveals higher-order interactions

  Shomali SR; Ahmadabad MN; Shimazaki H; Rasuli SN

  CNS*2016, 02 Jul. 2016

  
• Simultaneous silence explains structured higher-order interactions of neural population

  Hideaki Shimazaki

  MONA2 - Modelling Neural Activity, 22 Jun. 2016

  
• Toward thermodynamic principles of consciousness

  Hideaki Shimazaki

  Consciousness club, 16 Jun. 2016, Ryota Kanai

  
• 相関を伴う神経回路網の活動と情報コーディング

  島崎 秀昭

  ホンダ・リサーチ・インスティチュート, 23 Mar. 2016

  
• 神経ネットワークの情報コーディング：ダイナミクス・高次相関・メカニズム

  島崎 秀昭

  第4回東工大若手物性セミナー, 18 Feb. 2016, Invited

  
• Analysis of network activity of neurons by the dynamic Ising model

  Shimazaki H

  International Christian University NS Forum, 02 Feb. 2016, Invited

  
• Approximation methods for inferring time-varying interactions of a large neural population

  Christian Donner; Hideaki Shimazaki

  NIPS 2015 Workshop on `Statistical Methods for Understanding Neural Systems', 11 Dec. 2015

  
• 神経回路網の熱力学的考察

  島崎 秀昭

  28 Nov. 2015, 数理モデリング研究会

  
• Simultaneous silence explains structured higher-order interactions of neural populations

  Shimazaki H

  Juelich Research Center, 04 May 2015, Invited

  
• Simultaneous silence explains structured higher-order interactions of neural populations

  Shimazaki H

  BCCN Berlin, 28 Apr. 2015, Invited

  
• Simultaneous silence explains structured higher-order interactions of neural populations

  HIDEAKI SHIMAZAKI

  第16回ノンパラメトリック統計解析とベイズ統計, 25 Mar. 2015

  
• 神経細胞の集団活動の高次統計とメカニズム

  島崎 秀昭

  第３回ヘテロ・ニューロ・アナリシス研究会, 18 Mar. 2015

  
• State-space analysis of behaviour- and layer-dependent synchrony in motor cortex during volitional arm movement

  Thomas Sharp; Hideaki Shimazaki; Yoshikazu Isomura; Tomoki Fukai

  Society for Neuroscience 2014, 16 Nov. 2014

  
• Theoretical study on spike-timing probability in a pair of pre-post synaptic neurons

  Safura Rashid Shomali; Majid Nili Ahmadabadi; Hideaki Shimazaki; S Nader Rasuli

  Neuro2014, 11 Sep. 2014

  
• Behaviour- and layer-dependent synchrony in motor cortex during volitional arm movement

  Thomas Sharp; Hideaki Shimazaki; Yoshikazu Isomura; Tomoki Fukai

  Neuro2014, 11 Sep. 2014

  
• Behaviour- and layer-dependent synchrony in motor cortex during volitional arm movement

  Sharp T; Shimazaki H; Isomura Y; Fukai T

  Workshop on data mining in neuroscience, 28 May 2014

  
• 

  Bimodal distributions of local phase variables in natural images

  HaDi MaBouDi; Hideaki Shimazaki; Hamid Soltanian-Zadeh; Shun-ichi Amari

  The 2014 VSS Annual Meeting, 18 May 2014

  
• State-space analysis of higher-order interactions in parallel event sequences

  Shimazaki H; Amari S; Brown EN; Grün S

  第15回ノンパラメトリック統計解析とベイズ統計, 20 Mar. 2014

  
• 高次相関を伴う神経回路網活動：局所回路の計算原理を求めて

  島崎 秀昭

  神経科学と脳科学の対話4, 17 Mar. 2014, 統計数理研究所

  
• 

  Statistical inference for directed phase coupling in neural oscillators

  HaDi MaBouDi; Hideaki Shimazaki; Mehdi Abouzari; Shun-ichi Amari; Hamid Soltanian-Zadeh

  Computational and Systems Neuroscience (Cosyne) 2014, 27 Feb. 2014

  
• Statistical inference for directed phase coupling in neural oscillators. Computational and Systems Neuroscience

  HaDi MaBouDi; Hideaki Shimazaki; Mehdi Abouzari; Shun-ichi Amari; Hamid Soltanian-Zadeh

  Cosyne 2014, Salt Lake City, USA., Feb. 2014

  
• Structured higher-order interactions explain the simultaneous silence of neural populations

  Shimazaki H; Sadeghi K; Ikegaya Y; Toyoizumi T

  脳と心のメカニズム 第14回 冬のワークショップ, 08 Jan. 2014

  
• 

  The simultaneous silence of neurons explains structured higher-order interactions in ensemble spiking activity

  Shimazaki H; Sadeghi K; Ikegaya Y; Toyoizumi T

  Society for Neuroscience (SfN) 2013, 09 Nov. 2013

  
• State-space analysis of time-varying higher-order interactions: its applications to neuroscience

  Shimazaki H

  ELC International Meeting on ''Inference, Computation, and Spin Glasses'' (ICSG2013), 28 Jul. 2013, Invited

  
• Higher-order interactions in population activity of hippocampal CA3 neurons

  Shimazaki H

  Workshop on statistical analysis of neurophysiological and clinical data, 08 Jul. 2013, Kyoto University, Invited

  
• Estimating time-varying higher-order neuronal interactions in awake behaving animals

  Shimazaki H; Amari S; Brown EN; Grün S

  Modeling Neural Activity: Statistics, Dynamical Systems, and Networks, 26 Jun. 2013

  
• The simultaneous silence of neurons explains higher-order interactions in ensemble spiking activity

  Shimazaki H; Sadeghi K; Ikegaya Y; Toyoizumi T

  Neuro2013, 20 Jun. 2013

  
• The simultaneous silence of neurons explains higher-order interactions in ensemble spiking activity

  Shimazaki H

  The 3rd Mathematical Neuroscience Workshop in School of Mathematics, 14 Mar. 2013, Institute for Research in Fundamental Sciences (IPM), Invited

  
• Estimating dynamic neural interactions in awake behaving animals

  Shimazaki H

  The 3rd Mathematical Neuroscience Workshop in School of Mathematics, 13 Mar. 2013, Institute for Research in Fundamental Sciences (IPM), Invited

  
• 高次相関を伴う神経回路網の活動と情報コーディング

  島崎 秀昭

  玉川大学脳科学若手の会 第88回談話会, 22 Feb. 2013, 玉川大学脳科学若手の会, Invited

  
• The simultaneous silence of neurons explains structured higher-order interactions in spontaneous spiking activity

  Shimazaki H; Sadeghi K; Ikegaya Y; Toyoizumi T

  神経科学と統計科学の対話３, 18 Feb. 2013, 統計数理研究所

  
• Joint inactivation statistics of population spiking activities

  HIDEAKI SHIMAZAKI

  Workshop on statistical aspects of neural coding, 01 Nov. 2012, Kyoto University & Ritsumeikan University, Invited

  
• Tracking dynamic neural interactions in awake behaving animals

  Shimazaki H

  Workshop on neural information flow, 20 Jun. 2012, Kyoto University

  
• ヒストグラム・カーネル密度推定の神経スパイクデータへの適用：理論と実践

  島崎 秀昭; 篠本 滋

  第13回ノンパラメトリック統計解析とベイズ統計, 29 Mar. 2012

  
• The simultaneous silence of neurons explains higher-order interactions in ensemble spiking activity

  Shimazaki H; Sadeghi K; Ikegaya Y; Toyoizumi T

  Computational and Systems Neuroscience (Cosyne) 2012, 23 Feb. 2012

  
• 神経細胞の高次スパイク相関：状態空間モデルによる解析

  島崎 秀昭

  京都大学理学部物理学第一教室 非線形セミナー, 02 Feb. 2012, 京都大学

  
• 神経スパイク解析における状態空間モデル，GLMの応用

  島崎 秀昭; 小山 慎介

  統計科学と神経科学の対話２, 26 Dec. 2011, 統計数理研究所

  
• 脳の高次機能と動的高次スパイク相関：状態空間モデルによる解析

  島崎 秀昭

  統計神経科学ミニワークショップ, 08 Sep. 2011, 統計数理研究所

  
• Constructing a joint time-series model of continuous and Bernoulli/Poisson processes using a copula

  Shimazaki H; Brown EN

  Computational and Systems Neuroscience (Cosyne) 2011, 24 Feb. 2011

  
• Analysis of dynamic neural spike data: from firing rate to spike correlation

  Shimazaki H

  Neurostatistics Working Group Seminar, 01 Dec. 2010, Dept. of Biostatistics, Harvard University, Invited

  
• Detection of dynamic cell assemblies by the Bayes factor

  Shimazaki H

  Workshop on spatio-temporal neuronal computation, 06 Sep. 2010, Kyoto University

  
• Characterizing neuronal firing with the rate and the irregularity

  Shinomoto S; Shimazaki H; Shimokawa T

  Neuro 2010, 02 Sep. 2010

  
• Analysis of subsets of higher-order correlated neurons based on marginal correlation coordinates

  Shimazaki H; Amari S; Brown EN; Grün S

  Computational and Systems Neuroscience (Cosyne) 2010, 25 Feb. 2010

  
• 動的スパイク相関の状態空間モデル

  島崎秀昭; 甘利俊一; Emery Brown; Sonja Gruen

  日本神経回路学会 第19回全国大会, 24 Sep. 2009, 日本神経回路学会

  
• Histogram binwidth and kernel bandwidth selection for the Spike-rate estimation

  Shimazaki H; Shinomoto S

  CNS2009, 18 Jul. 2009

  
• Bayes factor analysis for detection of time-dependent higher-order spike correlations

  Shimazaki H; Amari S; Brown EN; Grün S

  CNS2009, 18 Jul. 2009

  
• State-space model of dynamic correlations in parallel spike sequences

  島崎 秀昭

  京都大学理学研究科物理学第一教室 非線形動力学セミナー, 01 Jun. 2009, Invited

  
• Estimating time-varying spike correlations from parallel spike sequences

  Shimazaki H; Amari S; Brown EN; Grün S

  German-Japanese Workshop "Computational and Systems Neuroscience", 25 May 2009

  
• State-space Analysis on Time-varying Correlations in Parallel Spike Sequences

  Shimazaki H; Amari S; Brown EN; Grün S

  ICASSP2009 Special Session on `Signal Processing for Neural Spike Trains', 24 Apr. 2009, IEEE, Invited

  
• Detection of non-stationary higher-order spike correlation

  Shimazaki H; Amari S; Brown EN; Grün S

  Computational and Systems Neuroscience (Cosyne) 2009, 26 Feb. 2009

  
• State-space analysis on time-varying higher-order spike correlations

  Shimazaki H; Amari S; Brown EN; Grün S

  NIPS2008 Workshop on `Statistical Analysis and Modeling of Response Dependencies in Neural Populations', 13 Dec. 2008

  
• 多細胞同時記録スパイク時系列データの状態空間モデル

  島崎 秀昭; ソーニャ グリューエン

  第11回情報論的学習理論ワークショップ, 29 Oct. 2008

  
• 局所適応カーネル法によるスパイクレート推定

  島崎 秀昭; 篠本 滋

  日本神経回路学会 第１８回全国大会, 24 Sep. 2008, 日本神経回路学会

  
• Estimating time-dependent higher-order interactions in parallel spike trains

  Shimazaki H; Gruen S

  Neuro2008, 09 Jul. 2008

  
• State-space Analysis on time-dependent correlation in parallel spike trains

  Shimazaki H; Amari S; Brown EN; Grün S

  Statistical Analysis of Neuronal Data (SAND4), 29 May 2008

  
• Kernel width optimization in the spike-rate estimation

  Shimazaki H; Shinomoto S

  Neural Coding 2007, 07 Nov. 2007

  
• Optimization of a histogram of spike data

  Shimazaki H; Shinomoto S

  Neuro2007, 11 Sep. 2007

  
• ヒストグラムのビン幅の選択方法 -最適なPSTHの作り方

  島崎 秀昭

  マルチニューロン研究会, 30 Jun. 2007, Invited

  
• A recipe for optimizing a time histogram of spike data

  Shimazaki H

  RIKEN BSI Forums, 17 Apr. 2007, RIKEN Brain Science Institute

  
• A recipe for constructing a peri-stimulus time histogram

  Shimazaki H

  The Boadian Seminar at Mind/Brain Institute, 01 Mar. 2007, Johns Hopkins University

  
• A recipe for optimizing a time-histogram with variable bin sizes

  Shimazaki H; Shinomoto S

  Computational and Systems Neuroscience (Cosyne) 2007, 22 Feb. 2007

  
• 

  A recipe for optimizing a time-histogram

  Shimazaki H; Shinomoto S

  Neural Information Processing Systems (NIPS) 2006, 04 Dec. 2006

  
• 

  スパイク時系列の潜時を補正して時間ヒストグラムを最適化する方法

  島崎 秀昭

  日本神経回路学会第16回全国大会, 21 Sep. 2006

  
• Self-organized criticality by natural selection

  Shimazaki H

  Frontiers in Dynamics: Physical and Biological Systems., 22 May 2006

  
• Recipes for constructing an optimal time histogram

  Shimazaki H

  Statistical Analysis of Neuronal Data (SAND3), 12 May 2006

  
• スパイク時系列ヒストグラムのビン幅の選択方法 -最適なPSTHの作り方

  島崎 秀昭

  脳と心のメカニズム 第６回冬のワークショップ, Jan. 2006

  
• 乗法的競争モデルに見られる相転移

  島崎 秀昭

  経済物理学 II -社会・経済への物理学的アプローチ-, 01 Dec. 2005

  
• スパイク時系列のヒストグラム作成における最適区間幅決定のレシピ

  島崎秀昭; 篠本滋

  日本神経回路学会第15回全国大会, Sep. 2005

  
• 離散力学系の競争モデルに見られる相転移と自然選択による転移点への接近

  島崎 秀昭

  日本物理学会第６０回年次大会, Mar. 2005

  
• Bose-einstein condensation in competitive processes

  Shimazaki H

  日本物理学会第59回年次大会, Mar. 2004

  

Books and Other Publications

• イベント時系列解析入門

  小山, 慎介; 島崎, 秀昭, Joint work

  近代科学社, May 2023

  Find Kyoto University's collection of books :

  
• Active Inference Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

  Christopher L. Buckley; Daniela Cialfi; Pablo Lanillos; Maxwell Ramstea; Noor Saji; Hideaki Shimazaki; Tim Verbelen, Editor

  Springer, 2023

  Find Kyoto University's collection of books :

  
• Neural coding

  Hideaki Shimazaki, Contributor

  脳科学辞典編集委員会, 24 Aug. 2021, Refereed

  
• Dynamic neuroscience : statistics, modeling, and control

  Chen, Zhe; Sarma Sridevi V.

  Springer, 2018

  Find Kyoto University's collection of books :

  
• Principles of Neural Science, Fifth Edition

  金澤一郎; 宮下保司; Eric R. Kandel; James H. Schwartz; Steven A. Siegelbaum; Thomas M.Jessell; A. J. Hudspeth, Single translation, Appendix F, Theoretical Approaches to Neuroscience: Examples from SingleNeurons to Networks, Eric R. Kandel; James H. Schwartz; Steven A. Siegelbaum; Thomas M.Jessell; A. J. Hudspeth

  MEDICAL SCIENCES INTERNATIONAL, LTD, Apr. 2014, Not refereed

  Find Kyoto University's collection of books :

  

Industrial Property Rights

• 特許第7325755号, 特開2021-112503, 特願2020-007811, 情報処理装置、情報処理方法およびプログラム

  島崎 秀昭; 下西 慶; 仁科 繁明; ジュ ビンユエ

  

Awards

• 20 Oct. 2016

  Excellent paper award(Asia Pacific Neural Network Society，Japanese Neural Net)
• 15 Nov. 2009

  大会研究賞(日本神経回路学会)
• 26 Sep. 2007

  奨励賞(日本神経回路学会)

External funds: Kakenhi

• Theoretical approaches to adaptive neuronal circuits identified by the cell type census

  Grant-in-Aid for Transformative Research Areas (A)

  Transformative Research Areas, Section (III)

  Kyoto University;Hokkaido University

  島崎 秀昭

  From 10 Sep. 2021, To 31 Mar. 2026, Granted

  適応原理;状態空間モデル;神経活動ダイナミクス;学習則;理論モデル;神経スパイクデータ解析;回路推定;高次相関;ベイズ脳仮説;自由エネルギー原理

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-21H05246/
• Cell type census of adaptive neuronal circuits: biological mechanisms of structural and functional organization

  Grant-in-Aid for Transformative Research Areas (A)

  Transformative Research Areas, Section (III)

  Tokyo Medical and Dental University

  礒村 宜和

  From 10 Sep. 2021, To 31 Mar. 2026, Granted

  神経回路;トランスクリプトーム;行動適応;オミックス;理論モデル

  https://kaken.nii.ac.jp/grant/KAKENHI-ORGANIZER-21H05238/
• Development of statistical analysis methods for visualizing nonlinear activity of large-scale neural populations

  Grant-in-Aid for Scientific Research (C)

  Basic Section 60030:Statistical science-related

  Kyoto University;Hokkaido University

  島崎 秀昭

  From 01 Apr. 2020, To 31 Mar. 2024, Granted

  状態空間モデル;イジングモデル;神経スパイクデータ;キネティック・イジングモデル;非平衡系;情報幾何;平均場近似;神経符号化;非線形ダイナミクス

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K11709/
• 非弾性中性子散乱の非経験的計算と実験の逆空間スペクトル照合による水素局所環境分析

  Grant-in-Aid for Scientific Research (C)

  Basic Section 26010:Metallic material properties-related

  Japan Atomic Energy Agency

  巽 一厳

  From 01 Apr. 2024, To 31 Mar. 2027, Granted

  水素局所環境;非弾性中性子散乱;水素原子核量子状態;逆空間;第一原理計算

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K08023/
• 曲がった統計多様体上のニューラルネットワーク

  Grant-in-Aid for Challenging Research (Exploratory)

  Medium-sized Section 12:Analysis, applied mathematics, and related fields

  Kyoto University

  島崎 秀昭

  From 28 Jun. 2024, To 31 Mar. 2027, Adopted

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K21518/
• Neural networks on curved statistical manifolds

  Grant-in-Aid for Challenging Research (Exploratory)

  Medium-sized Section 12:Analysis, applied mathematics, and related fields

  Kyoto University

  島崎 秀昭

  From 28 Jun. 2024, To 31 Mar. 2027, Granted

  ニューラルネットワーク;高次相関;情報幾何

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K21518/

Education

Teaching subject(s)

• From 01 Apr. 2024, To 31 Mar. 2025

  Advanced Practice of Electrical and Electronic Engineering

  6202, Fall, Faculty of Engineering, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Electrical and Electronic Engineering in Biomedical Applications

  6200, Spring, Faculty of Engineering, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Systems Science, Advanced I

  3542, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Systems Science, Advanced II

  3512, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Integrated Systems Biology

  3511, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Practice of Basic Informatics (Faculty of Engineering)

  T006, Fall, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Computational neuroscience

  3544, Year-long, Graduate School of Informatics, 1
• From 01 Apr. 2023, To 31 Mar. 2024

  Electrical and Electronic Engineering in Biomedical Applications

  6200, Spring, Faculty of Engineering, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Integrated Systems Biology

  3511, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Systems Science, Advanced I

  3542, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Systems Science, Advanced II

  3512, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Practice of Basic Informatics (Faculty of Engineering)

  T006, Fall, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Computational neuroscience

  3544, Year-long, Graduate School of Informatics, 1

Part-time lecturer

• From 01 Apr. 2024, To 31 Mar. 2025

  神経科学基礎

  国立大学法人東京歯科医科大学, 細胞生理学分野

Administration

Faculty management (title, position)

• From 01 Apr. 2024, To 31 Mar. 2025

  工学部カリキュラム検討専門委員会　委員
• From 01 Apr. 2023, To 31 Mar. 2024

  人を対象とする研究倫理小委員会委員

Academic, Social Contribution

Committee Memberships

• From Apr. 2022, To Present

  Organization committee, International workshop of active inference
• From Apr. 2024, To Mar. 2025

  非常勤講師, 東京医科歯科大学非常勤講師
• From Jan. 2023, To Present

  計画委員, 脳と心のメカニズム
• From Sep. 2023, To Sep. 2024

  プログラム委員長, 日本神経回路学会第34回全国大会
• From Jul. 2022, To Jan. 2023

  脳と心のメカニズム 第39回計画委員, 脳と心のメカニズム
• From Oct. 2021, To Mar. 2024

  領域アドバイザー, 学術変革研究領域（B）「あいまい環境に対峙する脳・生命体の情報獲得戦略の解明」
• From Jan. 2020, To Present

  Action Editor, Neural Networks
• From Jul. 2022, To Aug. 2023

  コアプログラム委員, 日本神経科学会 第46回日本神経科学大会
• From Jan. 2021, To Jul. 2022

  第45回日本神経科学大会プログラム委員, 日本神経科学会
• From Apr. 2018, To Mar. 2020

  Board member, Japanese Neural Network Society
• From Feb. 2014, To Mar. 2016

  専門調査員, 文部科学省科学技術政策研究所科学技術動向研究センター