Research activity information

• Oct. 2024 国立大学法人神戸大学 令和6年度学長表彰


• Oct. 2023 国立大学法人神戸大学 令和5年度学長表彰


• Oct. 2022 国立大学法人神戸大学 令和4年度学長表彰


• Nov. 2018 第40回日本比較生理生化学会 発表賞会長賞


• Oct. 2018 第52回日本味と匂学会 優秀発表賞


• Oct. 2017 Best Paper Award, 18th International Symposium on Advanced Intelligent Systems


• Sep. 2014 情報科学技術フォーラム FIT奨励賞


• May 2014 Achievement Award [Electrical Engineering], The Japan Electric Association Kansai Branch


• Apr. 2012 RIKEN Appreciation Letter from President


• Jun. 2011 情報処理学会 論文賞


• Nov. 2010 独立行政法人理化学研究所 理事長感謝状


• Sep. 2010 計測自動制御学会 生体・生理工学部会研究奨励賞

• Estimating Distributions of Parameters in Nonlinear State Space Models with Stein Variational Markov Chain Monte Carlo Method

  Koshin Hagimoto, Toshiaki Omori

  Mar. 2025, Proceedings of International Conference on Scientific Computing and Machine Learning

  [Refereed]


• Spatial Depth Super-Resolution Framework for Rock CT Images Using Sparse Modeling

  Ryogo Kagawa, Atsushi Okamoto, Toshiaki Omori

  Jan. 2025, Proceedings of 30th International Symposium on Artificial Life and Robotics

  [Refereed]


• Data-driven Stein Variational Method for Precise Estimation of Nonlinear Dynamical System

  Koshin Hagimoto, Toshiaki Omori

  2025, Nonlinear Theory and Its Applications, in press.

  [Refereed]


• Data-driven Depth Direction Super-resolution Framework for X-ray CT Images of Rock Samples by Deep Learning

  Ryogo Kagawa, Atsushi Okamoto, Toshiaki Omori

  2025, Nonlinear Theory and Its Applications, in press.

  [Refereed]

  Scientific journal


• Data-Driven Depth Direction Super-Resolution of 3D Rock CT Images by Deep Learning

  Ryogo Kagawa, Atsushi Okamoto, Toshiaki Omori

  Dec. 2024, Proceedings of 2024 International Symposium on Nonlinear Theory and Its Applications

  [Refereed]


• Data-Driven Stein Variational Method for Precise Estimation of Nonlinear Dynamical System

  Koshin Hagimoto, Toshiaki Omori

  Dec. 2024, Proceedings of 2024 International Symposium on Nonlinear Theory and Its Applications

  [Refereed]


• Probabilistic Estimation and Control of Dynamical Systems Using Particle Filter with Adaptive Backward Sampling

  Taketo Omi, Toshiaki Omori

  Jul. 2024, Entropy, 26, 653

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Sparse Estimation of Dynamical System Based on Hamiltonian Mechanics

  Yuya Note, Takaharu Yaguchi, Toshiaki Omori

  2024, Proceedings of 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering

  [Refereed]


• Sparse Representation of Koopman Operator

  Yuya Note, Takaharu Yaguchi, Toshiaki Omori

  2024, Proceedings of International Conference on Scientific Computing and Machine Learning 2024

  [Refereed]


• Transforming Neural Ordinary Differential Equations into Interpretable Sparse Expressions via Identification of Nonlinear Dynamics under General Dynamical Constraints

  Yuya Note, Toshiaki Omori

  2024, Proceedings of the Twenty-Ninth International Symposium on Artificial Life and Robotics

  [Refereed]


• Data-driven Estimation of Neuronal Network Structure with Biologically Plausible Connectivity Prior

  Tsubasa Shoji, Toshiaki Omori

  2024, Proceedings of the Twenty-Ninth International Symposium on Artificial Life and Robotics,

  [Refereed]


• Estimating of Spatial Input Currents in Morphological Neuron Models by Data-driven Approach

  Hirozo Nakano, Toshiaki Omori

  2024, Proceedings of the Twenty-Ninth International Symposium on Artificial Life and Robotics,

  [Refereed]


• Sparse Estimation for Hamiltonian Mechanics

  Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori

  2024, Mathematics, 12, 974

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Simultaneously Estimating and Controlling Nonlinear Neuronal Dynamics Based on Sequential Monte Carlo Framework

  Taketo Omi, Toshiaki Omori

  2024, Nonlinear Theory and Its Applications, in press.

  [Refereed]

  Link to Kobe Univ. Repository (Kernel)


• Data-driven Estimation of Spatial Electrical Property of Multi-Compartment Models with Neuronal Morphology by Replica Exchange Monte Carlo Method

  Hirozo Nakano, Amitava Majumdar, Toshiaki Omori

  2024, Nonlinear Theory and Its Applications, in press.

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Model Selection for Nonlinear Dynamical Systems Based on Gaussian Process Dynamical Models

  Yuki Kishikawa, Toshiaki Omori

  2023, Proceedings of 29th International Symposium on Artificial Life and Robotics

  [Refereed]


• Estimation of Nonlinear Neural Dynamics Through Sequential Monte Carlo Method and Sparse Modeling

  Takuma Ihara, Toshiaki Omori

  2023, Proceedings of 29th International Symposium on Artificial Life and Robotics

  [Refereed]


• Reconstructing Perceptual Images from Functional MRI Signals Using Framework Based on Flow-based Image Generation Model

  Kensuke Inaba, Toshiaki Omori

  2023, Proceedings of 29th International Symposium on Artificial Life and Robotics

  [Refereed]


• Simultaneously Estimating and Controlling Neuronal Nonlinear Dynamics Based on Statistical Machine Learning Approach

  Takumi Omi, Toshiaki Omori

  2023, Proceedings of 29th International Symposium on Artificial Life and Robotics

  [Refereed]


• Data-Driven Estimation of Spatial Electrical Property of Multi-Compartment Neuron Models by Replica Exchange Monte Carlo Method

  Hirozo Nakano, Majumdar Amitava, Toshiaki Omori

  2023, IEICE Proceeding Series, 529 - 532

  [Refereed]


• Sequential Monte Carlo Framework for Simultaneously Estimating and Controlling Nonlinear Neuronal Dynamics

  Taketo Omi, Toshiaki Omori

  2023, IEICE Proceeding Series, 525 - 528

  [Refereed]


• Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite

  Toshiaki Omori, Shoi Suzuki, Katsuyoshi Michibayashi, Atsushi Okamoto

  2023, Scientific Reports, 13, 6648, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Data-driven Method for Estimating Neuronal Nonlinear Dynamics from Noisy Partial Observation

  Hiroaki Inoue, Toshiaki Omori

  2022, Proceedings of 28th International Symposium on Artificial Life and Robotics

  [Refereed]


• Data-Driven Super-Resolution for Rock Sample CT images Based on Sparse Modeling

  Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, Toshiaki Omori

  2022, Proceedings of 28th International Symposium on Artificial Life and Robotics

  [Refereed]


• Self-Organizing Nonlinear State-Space Model Based on Gaussian Process

  Takashi Terayama, Toshiaki Omori

  2022, Proceedings of 28th International Symposium on Artificial Life and Robotics

  [Refereed]


• Deep Neural Network-based Framework for Estimation of Integrated Information

  Ryo Omae, Toshiaki Omori

  2022, Proceedings of 28th International Symposium on Artificial Life and Robotics

  [Refereed]


• Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method

  Hiroaki Inoue, Koji Hukushima, Toshiaki Omori

  2022, Entropy

  [Refereed]

  Link to Kobe Univ. Repository (Kernel)


• Online Bayesian Approach for Estimation and Control of Neural System

  Shuhei Fukami, Toshiaki Omori

  Mar. 2021, Proceedings of the 2021 IEEE 3rd Global Conference on Life Sciences and Technologies, 103 - 105

  [Refereed]


• Estimation of Neuronal Dynamics of Izhikevich Neuron Models from Spike-Train Data with Particle Markov Chain Monte Carlo Method

  Hiroaki Inoue, Koji Hukushima, Toshiaki Omori

  2021, Journal of the Physical Society of Japan

  [Refereed]

  Link to Kobe Univ. Repository (Kernel)


• Video Frame Rate Up-Conversion via Spatio-Temporal Generative Adversarial Networks

  N. Takada, T. Omori

  2021, J. Image Graph., in press.

  [Refereed]


• Data-driven Analysis of Nonlinear Heterogeneous Reactions through Sparse Modeling and Bayesian Statistical Approaches

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  2021, Entropy, in press.

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Exploration of Nonlinear Parallel Heterogeneous Reaction Pathways through Bayesian Variable Selection

  Ryosuke Oyanagi, Tatsu Kuwatani, Toshiaki Omori

  Last, 2021, European Physical Journal B, in press.

  [Refereed]

  Scientific journal


• Replica Exchange Particle Gibbs Method with Ancestor Sampling

  Hiroaki Inoue, Koji Hukushima, Toshiaki Omori

  Oct. 2020, Journal of the Physical Society of Japan

  [Refereed]

  Scientific journal


• Switching Probabilistic Slow Feature Analysis for Time-series Data

  Kazuki Tsujimoto, Toshiaki Omori

  Sep. 2020, International Journal of Machine Learning and Computing

  [Refereed]

  Scientific journal


• Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data

  Moe Yokoi, Toshiaki Omori

  Mar. 2020, Proceedings of 2020 IEEE 2nd Global Conference on Life Sciences and Technologies, 187 - 188

  [Refereed]

  International conference proceedings


• Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach

  Shuhei Fukami, Toshiaki Omori

  Dec. 2019, Communications in Computer and Information Science, 1143, 600 - 608

  [Refereed]

  International conference proceedings


• Sparse Estimation of Neuronal Network Structure with Observed Data

  Ren Masahiro, Toshiaki Omori

  Dec. 2019, Communications in Computer and Information Science, 1143, 609 - 618

  [Refereed]

  International conference proceedings


• Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  Dec. 2019, Lecture Notes in Computer Science, 11954, 380 - 391

  [Refereed]

  International conference proceedings


• Gaussian Process Dynamical Autoencoder Model

  Jo Takano, Toshiaki Omori

  2019, ACM International Conference Proceeding Series

  [Refereed]


• Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion

  Yusuke Tanaka, Toshiaki Omori

  2019, ACM International Conference Proceeding Series

  [Refereed]


• Estimation of Neuronal Dynamics Based on Sparse Modeling

  Shinya Otsuka, Toshiaki Omori

  Jan. 2019, Neural Networks, 109, 137 - 146

  [Refereed]

  Scientific journal


• Putative Neural Network Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant: The Ultra-structures and Mathematical Simulation.

  Yusuke Takeichi, Tatsuya Uebi, Naoyuki Miyazaki, Kazuyoshi Murata, Kouji Yasuyama, Kanako Inoue, Toshinobu Suzaki, Hideo Kubo, Naoko Kajimura, Jo Takano, Toshiaki Omori, Ryoichi Yoshimura, Yasuhisa Endo, Masaru K Hojo, Eichi Takaya, Satoshi Kurihara, Kenta Tatsuta, Koichi Ozaki, Mamiko Ozaki

  Ants are known to use a colony-specific blend of cuticular hydrocarbons (CHCs) as a pheromone to discriminate between nestmates and non-nestmates and the CHCs were sensed in the basiconic type of antennal sensilla (S. basiconica). To investigate the functional design of this type of antennal sensilla, we observed the ultra-structures at 2D and 3D in the Japanese carpenter ant, Camponotus japonicus, using a serial block-face scanning electron microscope (SBF-SEM), and conventional and high-voltage transmission electron microscopes. Based on the serial images of 352 cross sections of SBF-SEM, we reconstructed a 3D model of the sensillum revealing that each S. basiconica houses > 100 unbranched dendritic processes, which extend from the same number of olfactory receptor neurons (ORNs). The dendritic processes had characteristic beaded-structures and formed a twisted bundle within the sensillum. At the "beads," the cell membranes of the processes were closely adjacent in the interdigitated profiles, suggesting functional interactions via gap junctions (GJs). Immunohistochemistry with anti-innexin (invertebrate GJ protein) antisera revealed positive labeling in the antennae of C. japonicus. Innexin 3, one of the five antennal innexin subtypes, was detected as a dotted signal within the S. basiconica as a sensory organ for nestmate recognition. These morphological results suggest that ORNs form an electrical network via GJs between dendritic processes. We were unable to functionally certify the electric connections in an olfactory sensory unit comprising such multiple ORNs; however, with the aid of simulation of a mathematical model, we examined the putative function of this novel chemosensory information network, which possibly contributes to the distinct discrimination of colony-specific blends of CHCs or other odor detection.

  Sep. 2018, Frontiers in Cellular Neuroscience, 12, 310 - 310, English, International magazine

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Sparse Super-Resolution Method Using Accelerated Cross-Validation

  Takenori Nakaya, Toshiaki Omori

  2018, ACM International Conference Proceeding Series

  [Refereed]


• Harmonic Mean Similarity Based Quantum Annealing for k-means

  Jo Takano, Toshiaki Omori

  2018, Procedia Computer Science, 144, 298 - 305

  [Refereed]

  Link to Kobe Univ. Repository (Kernel)


• Estimation of Neural Network Dynamics Based on Sparse Modeling

  Ren Masahiro, Toshiaki Omori

  2018, Proceedings of the SICE Annual Conference 2018

  [Refereed]


• Multivariate Time Series Classification using DMD based Similarity Measure

  Taiki Tanaka, Toshiaki Omori

  2018, Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems

  [Refereed]


• Microglia Enhance Synapse Activity to Promote Local Network Synchronization

  Toshiaki Omori

  2018, eNeuro

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Belief Propagation for Probabilistic Slow Feature Analysis

  Toshiaki Omori, Tomoki Sekiguchi, Masato Okada

  Aug. 2017, Journal of the Physical Society of Japan, 86(8) (8), English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Frame Rate Upconversion Using Spatio-Temporal Auto Regressive Model

  Yusuke Tanaka, Toshiaki Omori

  2017, Proceedings of 18th International Symposium on Advanced Intelligent Systems

  [Refereed]


• Nonparametric Estimation for Membrane Resistances Distributed Non-Uniformly in Neurons

  Seiya Yabuuchi, Toshiaki Omori

  2017, ACM International Conference Proceeding Series

  [Refereed]


• Bayesian Estimation of Neural Systems using Particle-Gibbs

  Hiroaki Inoue, Toshiaki Omori

  2017, ACM International Conference Proceeding Series

  [Refereed]


• Bayesian inversion analysis of nonlinear dynamics in surface heterogeneous reactions

  Toshiaki Omori, Tatsu Kuwatani, Atsushi Okamoto, Koji Hukushima

  Sep. 2016, PHYSICAL REVIEW E, 94(3) (3), English

  [Refereed]

  Scientific journal


• Three levels of data-driven science

  Yasuhiko Igarashi, Kenji Nagata, Tatsu Kuwatani, Toshiaki Omori, Yoshinori Nakanishi-Ohno, Masato Okada

  2016, Journal of Physics: Conference Series, 699, English

  [Refereed]

  International conference proceedings


• Extracting nonlinear spatiotemporal dynamics in active dendrites using data-driven statistical approach

  Toshiaki Omori, Koji Hukushima

  2016, Journal of Physics: Conference Series, 699, English

  [Refereed]

  International conference proceedings


• Free-energy landscape and nucleation pathway of polymorphic minerals from solution in a Potts lattice-gas model

  Atsushi Okamoto, Tatsu Kuwatani, Toshiaki Omori, Koji Hukushima

  Oct. 2015, PHYSICAL REVIEW E, 92(4) (4), English

  [Refereed]

  Scientific journal


• Statistical Estimation of Neural System

  Hiroaki Inoue, Toshiaki Omori

  2015, Proceedings of 16th International Symposium on Advanced Intelligent Systems

  [Refereed]


• Simultaneous Estimation of Hodgkin-Huxley Neuronal Dynamics and Network Connectivity Based on Bayesian Statistics

  Shinichi Kataoka, Toshiaki Omori

  2015, Proceedings of 16th International Symposium on Advanced Intelligent Systems

  [Refereed]


• 回帰問題への機械学習的アプローチ～スパース性に基づく回帰モデリング～

  大森 敏明

  2015, システム制御情報学会誌

  [Refereed][Invited]

  Scientific journal


• Sparse estimation of spike-triggered average

  Shimpei Yotsukura, Toshiaki Omori, Kenji Nagata, Masato Okada

  Information Processing Society of Japan, 2014, IPSJ Online Transactions, 7(2014) (2014), 52 - 58, English

  [Refereed]

  Scientific journal


• Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites

  Toshiaki Omori

  2014, Proceedings of 21th International Conference on Neural Information Processing

  [Refereed]


• Estimation of Hyperparameters in Probabilistic Slow Feature Analysis

  Akihito Takeuchi, Toshiaki Omori

  2014, Proceedings of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems

  [Refereed]


• 海馬錐体細胞における電気特性の不均一性分布と細胞内信号伝播の連関

  大森 敏明

  2014, 日本神経回路学会誌

  [Invited]

  Scientific journal


• ビッグデータの利活用と機械学習研究

  大森 敏明

  2013, 電気学会誌


• Statistical Estimation of Non-Uniform Dendritic Membrane Properties

  T. Omori, T. Aonishi, M. Okada

  2013, Advances in Cognitive Neurodynamics

  [Refereed]


• Extracting Latent Dynamics from Multi-dimensional Data by Probabilistic Slow Feature Analysis

  Toshiaki Omori

  2013, Proceedings of 20th International Conference on Neural Information Processing

  [Refereed]


• Higher-Order Spike Triggered Analysis of Neural Oscillators

  Keisuke Ota, Toshiaki Omori, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  Nov. 2012, PLOS ONE, 7(11) (11), English

  [Refereed]

  Scientific journal


• スーパーコンピュータ「京」の本格稼働

  大森 敏明

  2012, 電気学会誌

  [Refereed]


• Slow Feature Analysisにおける観測ノイズの影響

  関口智樹, 大森敏明, 岡田真人

  2012, 情報処理学会論文誌数理モデル化と応用

  [Refereed]

  Scientific journal


• Estimating membrane resistance over dendrite using Markov random field

  Jun Kitazono, Toshiaki Omori, Toru Aonishi, Masato Okada

  Information Processing Society of Japan, 2012, IPSJ Online Transactions, 5(2012) (2012), 186 - 191, English

  [Refereed]

  Scientific journal


• 海馬の理論研究：ニューロンから行動まで

  佐藤直行, 大森敏明, 我妻広明

  2012, 電子情報通信学会情報・システムソサイエティ誌, 17(2) (2), 4

  [Invited]


• Measurement of infinitesimal phase response curves from noisy real neurons

  Keisuke Ota, Toshiaki Omori, Shigeo Watanabe, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  Oct. 2011, Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 84(4) (4), English

  [Refereed]

  Scientific journal


• Measurement of infinitesimal phase response curves from noisy real neurons

  Keisuke Ota, Toshiaki Omori, Shigeo Watanabe, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  Oct. 2011, PHYSICAL REVIEW E, 84(4) (4), English

  [Refereed]

  Scientific journal


• Mathematical Models of Hippocampal Systems

  Clinical Neuroscience

  2011, Clinical Neuroscience

  [Invited]

  Scientific journal


• Nonlinear Effect on Phase Response Curve of Neuron Model

  Iida Munenori, Omori Toshiaki, Aonishi Toru, Okada Masato

  2011, NEURAL INFORMATION PROCESSING, PT III, 7064, 240 - +

  [Refereed]


• Estimation of Intracellular Calcium Ion Concentration by Nonlinear State Space Modeling and Expectation-Maximization Algorithm for Parameter Estimation

  Takamasa Tsunoda, Toshiaki Omori, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  Dec. 2010, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 79(12) (12), English

  [Refereed]

  Scientific journal


• Switch of encoding characteristics in single neurons by subthreshold and suprathreshold stimuli

  Toshiaki Omori, Toru Aonishi, Masato Okada

  Feb. 2010, Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 81(2) (2), English

  [Refereed]

  Scientific journal


• An Analytic Solution of the Cable Equation Predicts Frequency Preference of a Passive Shunt-End Cylindrical Cable in Response to Extracellular Oscillating Electric Fields

  Hiromu Monai, Toshiaki Omori, Masato Okada, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

  Feb. 2010, BIOPHYSICAL JOURNAL, 98(4) (4), 524 - 533, English

  [Refereed]

  Scientific journal


• Switch of encoding characteristics in single neurons by subthreshold and suprathreshold stimuli

  Toshiaki Omori, Toru Aonishi, Masato Okada

  Feb. 2010, PHYSICAL REVIEW E, 81(2) (2), English

  [Refereed]

  Scientific journal


• Phase Response Curve of Spike Response Model

  M. Iida, T. Omori, T. Aonishi, M. Okada

  2010, IPSJ Trans. Math Model. Appl.

  [Refereed]

  Scientific journal


• 粒子フィルタによる細胞内カルシウム動態の推定

  角田敬正, 大森敏明, 宮川博義, 岡田真人, 青西亨

  2010, 情報処理学会論文誌 数理モデル化と応用

  [Refereed]

  Scientific journal


• 樹状突起における電気的応答特性の推定

  清水裕一郎, 大森敏明, 青西亨, 岡田真人

  2010, 情報処理学会論文誌 数理モデル化と応用

  [Refereed]

  Scientific journal


• Quantitative estimation of Ca2+ concentrations with simple state space model of calcium imaging signals

  Takamasa Tsunoda, Toshiaki Omori, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  2010, NEUROSCIENCE RESEARCH, 68, E107 - E107, English

  [Refereed]


• Bayesian method and dynamic clamp technique to measure neural phase-response curves

  Toru Aonishi, Takamasa Tsunoda, Toshiaki Omori, Masato Okada, Hiroyoshi Miyakawa, Keisuke Ota

  2010, NEUROSCIENCE RESEARCH, 68, E46 - E46, English

  [Refereed]


• Estimation of non-uniform membrane properties over the dendrite: A statistical approach using data assimilation method

  Omori Toshiaki, Aonishi Toru, Okada Masato

  2010, NEUROSCIENCE RESEARCH, 68, E111

  [Refereed]


• Derivation of the neural feature space for oscillating neurons from spike triggered covariance

  Keisuke Ota, Toshiaki Omori, Shigeo Watanabe, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  2010, NEUROSCIENCE RESEARCH, 68, E435 - E435, English

  [Refereed]


• Statistical calibration method for physiological Ca2+ fluorescence signals

  Takamasa Tsunoda, Yoshiaki Oda, Toshiaki Omori, Masato Okada, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

  2010, Australian Journal of Intelligent Information Processing Systems, 11(1) (1), 29 - 34, English

  [Refereed]

  Scientific journal


• Neural Network Model with Discrete and Continuous Information Representation

  Jun Kitazono, Toshiaki Omori, Masato Okada

  Nov. 2009, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 78(11) (11), English

  [Refereed]

  Scientific journal


• Steep decrease in the specific membrane resistance in the apical dendrites of hippocampal CA1 pyramidal neurons

  Toshiaki Omori, Toru Aonishi, Hiroyoshi Miyakawa, Masashi Inoue, Masato Okada

  May 2009, NEUROSCIENCE RESEARCH, 64(1) (1), 83 - 95, English

  [Refereed]

  Scientific journal


• MAP estimation algorithm for phase response curves based on analysis of the observation process

  Keisuke Ota, Toshiaki Omori, Toru Aonishi

  Apr. 2009, JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 26(2) (2), 185 - 202, English

  [Refereed]

  Scientific journal


• Estimation of Intracellular Calcium Ion Concentration by Nonlinear State Space Modeling

  Takamasa Tsunoda, Toshiaki Omori, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  2009, Proceedings of Asia Simulation Conference 2009

  [Refereed]


• Morphology dependence of the membrane potential response of a branched neuron for extracellular electric field: a modeling study

  Satoru Aoyama, Toshiaki Omori, Toru Aonishi, Masashi Inoue, Hiroyoshi Miyakawa

  2009, NEUROSCIENCE RESEARCH, 65, S74 - S74, English

  [Refereed]


• Fusion of Real Neuron and Mathematical Model by using Dynamic Clamp Technique

  K. Ota, T. Tsunoda, T. Omori, S. Watanabe, H. Miyakawa, M. Okada, T. Aonishi

  2009, J. Phys. Conf. Ser., English

  [Refereed]

  Scientific journal


• Fusion of Real Neuron and Mathematical Model by using Dynamic Clamp Technique

  T. Aonishi, T. Tsunoda, K. Ota, T. Omori, M. Okada, H. Miyakawa

  2009, Proc. Asia. Sim. Conf. 2009, English

  [Refereed]

  International conference proceedings


• Estimation of intracellular calcium ion concentration and Ca influx by nonlinear state space modeling

  Takamasa Tsunoda, Toshiaki Omori, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  2009, NEUROSCIENCE RESEARCH, 65, S84 - S84, English

  [Refereed]

  International conference proceedings


• Estimation of Non-Uniform Membrane Property over the Dendrite: Data Assimilation Approach using Bioimaging Data and Multi-Compartment Model

  T. Omori, T. Aonishi, H. Miyakawa, M. Inoue, M. Okada

  2009, Proc. Asia. Sim. Conf. 2009, English

  [Refereed]

  International conference proceedings


• An analytical solution of the cable equation predicts frequency preference of a cylindrical cable in response to extracellular electrical fields

  Hiromu Monai, Toshiaki Omori, Masato Okada, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

  2009, NEUROSCIENCE RESEARCH, 65, S136 - S136, English

  [Refereed]

  International conference proceedings


• Is the Langevin phase equation an efficient model for oscillating neurons?

  Keisuke Ota, Takamasa Tsunoda, Toshiaki Omori, Shigeo Watanabe, Hiroyoshi Miyakawa, Masato Okada, Toru Aonishi

  2009, INTERNATIONAL WORKSHOP ON STATISTICAL-MECHANICAL INFORMATICS 2009 (IW-SMI 2009), 197(012016) (012016), English

  [Refereed]

  International conference proceedings


• Statistical mechanics of lossy compression for nonmonotonic multilayer perceptrons

  Florent Cousseau, Kazushi Mimura, Toshiaki Omori, Masato Okada

  Aug. 2008, PHYSICAL REVIEW E, 78(2) (2), English

  [Refereed]

  Scientific journal


• Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons

  Florent Cousseau, Kazushi Mimura, Masato Okada

  2008, 2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6, 509 - +, English

  [Refereed]

  International conference proceedings


• Statistical estimation of spatiotemporal distribution of membrane potential over the dendrite using partially observable voltage imaging data

  Omori Toshiaki, Aonishi Toru, Okada Masato

  2008, NEUROSCIENCE RESEARCH, 61, S72

  [Refereed]


• Bayesian restoration of phase response curves and prediction of stochastic behavior of hippocampal CA1 pyramidal neurons

  Keisuke Ota, Toru Aonishi, Shigeo Watanabe, Yoshihiro Miyakawa, Toshiaki Omori, Masato Okada

  2008, NEUROSCIENCE RESEARCH, 61, S140 - S140, English

  [Refereed]


• Non-uniformity of membrane property improves dendritic signal transfer in hippocampal CA1 pyramidal neuron

  Omori Toshiaki, Aonishi Toru, Okada Masato

  2007, NEUROSCIENCE RESEARCH, 58, S40

  [Refereed]


• Perturbation response measurements in hippocampal CA1 pyramidal neuron based on Bayesian statistics

  Keisuke Ota, Toru Aonishi, Shigeo Watanabe, Hirayoshi Miyakawa, Toshiaki Omori, Masato Okada

  2007, NEUROSCIENCE RESEARCH, 58, S185 - S185, English

  [Refereed]


• Steep decrease of specific membrane resistance in distal dendrite

  Toshiaki Omori, Toru Aonishi, Hiroyoshi Miyakawa, Masashi Inoue, Masato Okada

  2006, NEUROSCIENCE RESEARCH, 55, S140 - S140, English

  [Refereed]


• Optical Recording of Neuronal Response to Perturbation and Estimation of Membrane Property by Numerical Simulation

  M. Inoue, T. Omori

  2006, J. Jpn. Soc. Sim. Tech.

  [Refereed]

  Scientific journal


• Estimated Distribution of Specific Membrane Resistance in Hippocampal CA1 Pyramidal Neuron

  T. Omori, T. Aonishi, H. Miyakawa, M. Inoue, M. Okada

  2006, Brain Res., English

  [Refereed]

  Scientific journal


• Dynamical state transition by neuromodulation due to acetylcholine in neural network model for oscillatory phenomena in thalamus

  T Omori, T Horiguchi

  Dec. 2004, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 73(12) (12), 3489 - 3494, English

  [Refereed]

  Scientific journal


• Dynamical properties of neural network model for working memory with Hodgkin-Huxley neurons

  T Omori, T Horiguchi

  Mar. 2004, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 334(3-4) (3-4), 600 - 614, English

  [Refereed]

  Scientific journal


• Dynamical neural network model of hippocampus with excitatory and inhibitory neurons

  T Omori, T Horiguchi

  Mar. 2004, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 73(3) (3), 749 - 755, English

  [Refereed]

  Scientific journal


• Dynamical Neuromodulation in Neural Network with Inhibitory Neurons and Cholinergic Neurons

  Toshiaki Omori, Tsuyoshi Horiguchi

  2003, Proceedings of 2003 Workshop on Information-Based Induction Sciences

  [Refereed]


• Noise effect on memory recall in dynamical neural network model of hippocampus

  T Omori, T Horiguchi

  Jun. 2002, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 71(6) (6), 1598 - 1604, English

  [Refereed]

  Scientific journal


• Oscillatory phenomena in hippocampal CA3 model with excitatory and inhibitory neurons

  T Omori, T Horiguchi

  2002, ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, 1597 - 1601, English

  [Refereed]

  International conference proceedings

• 人工知能が拓く情報処理技術～脳型AIの新展開～

  大森 敏明

  Aug. 2019, 神戸大学工学部オープンキャンパス2019 模擬講義


• 大規模データ時代に立ち向かう情報処理技術の開拓～機械学習法とその応用～

  大森 敏明

  Jun. 2013, 第31回神戸大学工学部公開講座「20X0年のくらしを支える工学」

• データ駆動型数理モデリングによる非線形ダイナミクス推定

  大森敏明

  北海道大学クロスボーダーセミナー, Jun. 2025

  [Invited]


• データ駆動型アプローチによる複雑システムの推定：不均質反応ダイナミクス抽出と岩石CT超解像

  大森敏明

  日本地球惑星科学連合2025年大会, May 2025

  [Invited]


• Prediction and Control of Nonlinear Dynamics by Data-driven Approach

  Toshiaki Omori

  Third Symposium on Data-driven Modeling in Complex Systems, Apr. 2025

  [Invited]


• Stein粒子フィルタに基づく神経ダイナミクスのデータ駆動型推定

  萩本康心, 大森敏明

  電子情報通信学会 複雑コミュニケーションサイエンス研究会, Mar. 2025


• Music diffusion model using discrete diffusion processes

  Hiromu Fukumoto, Toshiaki Omori

  The 13th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2025


• Data-driven estimation of nonlinear dynamics in spatiotemporal heterogeneous reactions

  Ten Kato, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  The 13th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2025


• Deep learning framework for three-dimensional super-resolution of X-ray CT images of rock samples

  Ryogo Kagawa, Atsushi Okamoto, Toshiaki Omori

  The 13th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2025


• Data assimilation framework for nonlinear dynamical systems using Stein variational gradient descent

  Koshin Hagimoto, Toshiaki Omori

  The 13th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2025


• 非線形ダイナミクス推定へのデータ駆動型アプローチ

  大森敏明

  日本情報地質学会シンポジウム2024「情報地球学の創成と発展に向けて」, Dec. 2024

  [Invited]


• Data-driven State Space Modeling Approach for Simultaneously Estimating and Controlling Nonlinear Dynamical Systems

  Toshiaki Omori

  International Symposium on Physics of Intelligence – Statistical Mechanics and Machine Learning: A Powerful Combination for Data Analysis –, Nov. 2024


• Data-driven Approach for Estimating Nonlinear Dynamics

  Toshiaki Omori

  1st Digital Brain Workshop, Sep. 2024

  [Invited]


• Data-driven Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite

  Toshiaki Omori

  SerpentineDays Webinar, Jun. 2024

  [Invited]


• データ駆動型アプローチに基づく非線形ダイナミクスの推定

  大森敏明

  情報計測オンラインセミナーシリーズ－数理・情報科学×計測科学の高度融合による新展開－, Mar. 2024

  [Invited]


• Data-driven Method for Extracting Latent Neuronal Systems from Imaging Data

  Tomu Watanabe, Toshiaki Omori

  The 12th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2024


• Parameter Estimation of Neuron-glia Interactive Dynamics with Multiple Time Scales

  Koki Fujiwara, Toshiaki Omori

  The 12th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2024


• Data-driven Online Framework for Estimation and Feedback Control of Neuronal Dynamics by Fully Sequential Monte Carlo Method

  Taketo Omi, Toshiaki Omori

  The 12th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2024


• Machine Learning Algorithm for Estimating Neuronal Network Structure with Biologically Plausible Connectivity Prior

  Tsubasa Shoji, Toshiaki Omori

  The 12th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2024


• Data-driven Estimation Framework for Extracting Nonlinear Dynamics in Biophysical Neuron Models

  Hirozo Nakano, Toshiaki Omori

  The 12th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2024


• 神経システム制御へのデータ駆動型アプローチ

  大森敏明

  定量生物学の会第十一回年会, Jan. 2024


• Data-driven Method for Estimating Nonlinear Dynamics by Replica Exchange Particle Markov Chain Monte Carlo Method

  Toshiaki Omori, Hiroaki Inoue, Koji Hukushima

  28th IUPAP International Conference on Statistical Physics, Aug. 2023


• Data-driven Framework for Simultaneously Estimating and Controlling Neuronal Nonlinear Dynamics

  Taketo Omi, Toshiaki Omori

  28th IUPAP International Conference on Statistical Physics, Aug. 2023


• Data-driven Estimation of Nonlinear Dynamical Systems by Replica Exchange Particle Markov Chain Monte Carlo Method

  Toshiaki Omori, Hioraki Inoue, Koji Hukushima

  34th IUPAP Conference on Computational Physics, Aug. 2023


• Extracting Spatiotemporal Dynamics of Neural Systems by Computational and Data-driven Approaches

  Hirozo Nakano, Amitava Majumdar, Toshiaki Omori

  34th IUPAP Conference on Computational Physics, Aug. 2023


• Simultaneous Estimation and Control Framework for Neuronal Dynamics Based on Statistical Machine Learning Approach

  Taketo Omi, Toshiaki Omori

  34th IUPAP Conference on Computational Physics, Aug. 2023


• Superresolution of X-ray CT Images of Serpentinites by Sparse Modeling

  鈴木聖惟, 岡本敦, 道林克禎, 大森敏明

  日本地球惑星科学連合2023年大会, May 2023


• Data-driven Framework for Estimating Nonlinear Neural Dynamics Based on Non-uniform Sparse Modeling

  Takuma Ihara, Toshiaki Omori

  7th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, Apr. 2023


• Visualizing Process of Image Reconstruction from Brain Activities by Using Non parametric Generative Model

  Kensuke Inaba, Toshiaki Omori

  7th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, Apr. 2023


• Machine Learning Algorithm for Estimating Nonlinear Neurodynamics by Sequential Monte Carlo Method and Sparse Modeling

  Takuma Ihara, Toshiaki Omori

  11th RIEC Internaional Symposium on Brain Functions and Brain Computer, Feb. 2023


• Learning Super-resolution of X-ray CT Images of Rocks Based on Sparse Representation

  Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, Toshiaki Omori

  11th RIEC Internaional Symposium on Brain Functions and Brain Computer, Feb. 2023


• Data-driven Approach for Image Reconstruction Using Neural Ordinary Differential Equation Models

  Kensuke Inaba, Toshiaki Omori

  11th RIEC Internaional Symposium on Brain Functions and Brain Computer, Feb. 2023


• Sparse Estimation of Nonlinear Dynamics Using Generalized Dynamical Constraints

  Yuya Note, Toshiaki Omori

  11th RIEC Internaional Symposium on Brain Functions and Brain Computer, Feb. 2023


• データ駆動型アプローチによる神経ダイナミクスの推定制御

  大森敏明

  定量生物学の会第十回年会, Dec. 2022


• 温度の効果を用いた自己組織化状態空間モデルによる潜在変数とパラメータの推定

  井上広明, 大森敏明

  第21回情報科学技術フォーラム, Sep. 2022


• 温度の効果を導入した自己組織化状態空間モデルによる神経ダイナミクスの推定

  井上広明, 大森敏明

  日本応用数理学会2022年度年会, Sep. 2022


• 統計的機械学習に基づく神経システムの推定と制御

  近江勇斗, 大森敏明

  神戸大学次世代光散乱イメージング科学研究センターキックオフシンポジウム, Jun. 2022


• ベイズ推論に基づく神経ネットワークのシステム同定

  井上広明, 大森敏明

  神戸大学次世代光散乱イメージング科学研究センターキックオフシンポジウム, Jun. 2022


• Superresolution of X-ray CT Images of Serpentinites by Sparse Modeling

  鈴木聖惟, 岡本敦, 道林克禎, 大森敏明

  日本地球惑星科学連合2022年大会, May 2022


• レプリカ交換粒子マルコフ連鎖モンテカルロ法を用いた神経システムのダイナミクス推定

  井上広明, 大森敏明

  第66回システム制御情報学会研究発表講演会, May 2022


• 多次元・多階層データへのデータ駆動型アプローチの展開

  大森敏明

  メレオロジー研究会, May 2022

  [Invited]


• Unsupervised Deep Video Interpolation Based on Spatio-Temporal Autoregressive Neural Network

  Koki Nakashima, Toshiaki Omori

  6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Apr. 2022


• Estimating Dynamical Nonlinear System with Nonstationarity by Gaussian Process Self- Organizing Generalized State-Space Model

  Takashi Terayama, Toshiaki Omori

  6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Apr. 2022


• A Framework for Estimating Integrated Information of Brain Based on Deep Neural Network

  Ryo Omae, Toshiaki Omori

  6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Apr. 2022


• Data-driven Modeling of Neuronal Nonlinear Dynamics

  Toshiaki Omori

  The 99th Annual Meeting of the Physiological Society of Japan, Mar. 2022

  [Invited]


• Data-driven Approach for Multi-dimensional and Multi-scale Data Analysis

  Toshiaki Omori

  The 99th Annual Meeting of the Physiological Society of Japan, Mar. 2022

  [Invited]


• Data-driven Approach for Dynamical System Modeling

  Toshiaki Omori

  Joint Symposium on Life Science, Computational Science, and Structural Engineering Between UC San Diego and Kobe University, Feb. 2022

  [Invited]


• データ駆動型アプローチによる動的システムの数理モデリング

  大森敏明

  2021年度情報処理学会関西支部定期講演会『機械学習・深層学習に関する最新動向』, Dec. 2021

  [Invited]


• データ駆動型アプローチによる動的システムモデリング

  大森敏明

  大阪大学 数理・データ科学教育研究センター AI・データ利活用研究会 第22回, Oct. 2021

  [Invited]


• ホワイトボックスモデリングによる非線形動的システムの推定II

  大森敏明

  研究会「数理科学と情報学の連携による次世代モデリング理論」, Sep. 2021

  [Invited]


• ホワイトボックスモデリングによる非線形動的システムの推定I

  大森敏明

  研究会「数理科学と情報学の連携による次世代モデリング理論」, Sep. 2021

  [Invited]


• データ駆動型アプローチによる神経ネットワークのダイナミクス推定

  井上広明, 大森敏明

  日本応用数理学会 2021年度 年会, Sep. 2021

  [Invited]


• 岩石コア試料のX線CT画像の超解像とオマーンオフィオライトの蛇紋岩への適用

  鈴木聖惟, 岡本敦, 道林克禎, 大森敏明

  日本地球惑星科学連合2021年大会, Jun. 2021


• データ駆動型アプローチによる動的システムモデリング

  大森敏明

  第26回計算工学講演会, May 2021


• Extraction of Nonlinear Dynamics of Heterogeneous Reactions Based on Sparse Modeling

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  EGU General Assembly 2021, Apr. 2021


• Video Frame Rate up Conversion via Spatio-Temporal Generative Adversarial Networks

  Naomichi Takada, Toshiaki Omori

  5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Apr. 2021


• Sparse-Sequential Monte Carlo Method for Extracting Nonlinear Dynamics of Heterogeneous Reactions

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Apr. 2021


• Online Bayesian Approach for Estimation and Control of Neural System

  Shuhei Fukami, Toshiaki Omori

  2021 IEEE 3rd Global Conference on Life Sciences and Technologies, Mar. 2021


• スパースモデリングによる不均質反応非線形ダイナミクスの推定

  伊藤雅起, 桑谷立, 大柳良介, 大森敏明

  日本物理学会第76回年次大会, Mar. 2021


• Data-driven Analysis of Information Transfer Using Cortical Neural Circuit Model with Extracellular Electric Field

  Naoki Matsumoto, Toshiaki Omori

  The SfN Global Connectome, Society for Neuroscience, Jan. 2021


• Online Data-driven Estimation and Control of Nonlinear Model for Neuronal Dynamics

  Shuhei Fukami, Toshiaki Omori

  The SfN Global Connectome, Society for Neuroscience, Jan. 2021


• Estimation of Neural Dynamics with Particle Markov Chain Monte Carlo

  Hiroaki Inoue, Koji Hukushima, Toshiaki Omori

  The 9th RIEC International Symposium on Brain Functions and Brain Computer, Dec. 2020


• Influence of Extracellular Electric Fields on Network Model of Neocortical Neural Circuit

  Naoki Matsumoto, Toshiaki Omori

  The 9th RIEC International Symposium on Brain Functions and Brain Computer, Dec. 2020


• データ駆動型アプローチによる動的システムのモデリング

  大森敏明

  日本応用数理学会2020年度年会, Sep. 2020


• データ駆動型アプローチに基づく神経活動の解析

  井上広明, 大森敏明

  神戸大学先端融合研究環第4回極みプロジェクトシンポジウム, Sep. 2020


• データ駆動型アプローチによる非線形ダイナミクスの推定

  大森敏明

  KISC Workshop 2020, Sep. 2020

  [Invited]


• スパースモデリングと逐次モンテカルロ法による不均質反応非線形ダイナミクスの推定

  伊藤雅起,桑谷立,大柳良介,大森敏明

  KISC Workshop 2020, Sep. 2020


• スパースモデリングによる不均質反応ダイナミクスの推定

  伊藤雅起, 桑谷立, 大柳良介, 大森敏明

  日本物理学会2020年秋季大会, Sep. 2020


• 神経システムにおける非線形ダイナミクスの統計的オンライン推定と状態制御

  深見修平, 大森敏明

  KISC Workshop 2020, Sep. 2020


• データ駆動型アプローチに基づく神経ダイナミクスのオンライン推定と制御

  深見修平, 大森敏明

  第19回情報科学技術フォーラム, Sep. 2020


• データ駆動型アプローチに基づく物理モデリングⅡ

  大森敏明

  連携探索セミナー「幾何学的力学・計算代数学を基礎とするデータ駆動型モデリング」第２回, Aug. 2020

  [Invited]


• データ駆動型アプローチに基づく物理モデリングⅠ

  大森敏明

  連携探索セミナー「幾何学的力学・計算代数学を基礎とするデータ駆動型モデリング」第１回, Jul. 2020

  [Invited]


• Bayesian Data-driven Approach for Extracting Nonlinear Dynamics of Heterogeneous Reactions

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  JpGU-AGU Joint Meeting 2020, May 2020


• Estimating Neural Dynamics Based on Data-driven Approach

  Toshiaki Omori

  The 97th Annual Meeting of the Physiological Society of Japan, Mar. 2020


• Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data

  Moe Yokoi, Toshiaki Omori

  2020 IEEE 2nd Global Conference on Life Sciences and Technologies, Feb. 2020


• Data-Driven Approach for Extracting Neuronal Non-linear Dynamics

  Toshiaki Omori

  The 8th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2020

  [Invited]


• Machine Learning Algorithm for Estimating Odor Pleasantness by Sparse Modeling Method

  Moe Yokoi, Toshiaki Omori

  The 8th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2020


• Data-driven Approach for Structure Estimation of Neural Networks

  Ren Masahiro, Toshiaki Omori

  The 8th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2020


• Online Statistical Algorithm for Estimation and Control of Neuronal Dynamics

  Shuhei Fukami, Toshiaki Omori

  The 8th RIEC International Symposium on Brain Functions and Brain Computer, Feb. 2020


• Super-resolution of X-ray CT Images of Rock Core Samples by Sparse Representation : Methodology and Applications to Serpetinized Peridotite from CM1A

  Atsushi Okamoto, Toshiaki Omori, Masao Kimura, Katsuyoshi Michibayashi, Oman Drilling Project Phase 2 Science Party

  International Conference on Ophiolites and the Oceanic Lithosphere, Jan. 2020


• Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions

  Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori

  26th International Conference on Neural Information Processing, Dec. 2019


• Sparse Estimation of Neuronal Network Structure with Observed Data

  Ren Masahiro, Toshiaki Omori

  26th International Conference on Neural Information Processing, Dec. 2019


• Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-driven Statistical Approach

  Shuhei Fukami, Toshiaki Omori

  26th International Conference on Neural Information Processing, Dec. 2019


• スパースモデリングに基づく神経回路活動からの刺激推定

  大森 敏明

  神戸大学先端融合研究環 第3回極みプロジェクトシンポジウム，CREST「ホログラム光刺激による神経回路再編の人為的創出」第3回シンポジウム, Dec. 2019

  [Invited]


• データ駆動によるシステム・パラメタのベイズ推定について

  大森 敏明

  文部科学省 科学技術試験研究委託事業「数学アドバンストイノベーションプラットフォーム」，日本比較生理生化学会若手の会 数学-生物学領域横断ワークショップ, Dec. 2019

  [Invited]


• Extracting Neural Dynamics Based on Computational and Data-driven Approaches

  Toshiaki Omori

  Joint Symposium on Life Science, Computational Science, and Structural Engineering Between Kobe University and UC San Diego, Center for Neural Circuits and Behavior, University of California San Diego, Nov. 2019

  [Invited]


• 生物に学ぶ効率的情報統合過程の数理モデル

  久保英夫, 大森敏明, 竹市裕介, 上尾達也, 尾崎まみこ

  第80回応用物理学会秋季学術講演会, Sep. 2019


• スパースモデリングに基づく匂いセンサ情報の認識アルゴリズム

  横井萌絵, 大森敏明

  第6回イメージング数理研究会, Sep. 2019


• Simultaneous Estimation of Neuronal Dynamics and Connectivity

  政廣蓮, 大森敏明

  第6回イメージング数理研究会, Sep. 2019


• スパースモデリングによる神経回路活動のデータ駆動型解析

  政廣蓮, 大森敏明

  第6回イメージング数理研究会, Sep. 2019


• マルコフ連鎖モンテカルロ法を用いた神経ネットワークの構造推定

  井上広明, 大森敏明

  第6回イメージング数理研究会, Sep. 2019


• スパースモデリングに基づく神経回路構造のシステム同定

  政廣蓮, 大森敏明

  第18回情報科学技術フォーラム, Sep. 2019


• Estimating Nonlinear Neuronal Dynamics Based on Sparse Modeling

  Toshiaki Omori, Shinya Otsuka

  The Joint Meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry, Jul. 2019


• Structure Estimation of Neural Networks Based on Sparse Modeling

  Ren Masahiro, Toshiaki Omori

  The Joint Meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry, Jul. 2019


• オマーン掘削コア試料のX線CT画像の超解像

  大森 敏明

  名古屋大学 大学院環境学研究科 第2回岩鉱ワークショップ, Jul. 2019

  [Invited]


• スパースモデリングに基づく神経回路の構造推定

  政廣蓮, 大森敏明

  第33回人工知能学会全国大会, Jun. 2019


• Specifying Rate Constants and Reaction Path on the Water-rock Chemical Reaction Based on Exchange Monte Carlo Method and Sparse Modeling

  大柳良介, 桑谷立, 大森敏明

  日本地球惑星科学連合2019年大会, May 2019


• スパースモデリングによる不均質反応非線形ダイナミクスの推定

  伊藤雅起, 桑谷立, 大柳良介, 大森敏明

  日本地球惑星科学連合2019年大会, May 2019


• Superresolution of X-ray CT images of core samples for understanding the multi-scale structures of water-rock interaction

  Toshiaki Omori, Atsushi Okamoto, Katsuyoshi Michibayashi, Oman Drilling, Project Phase, Science Party

  日本地球惑星科学連合2019年大会, May 2019


• Data-Driven Approach for Estimating Neuronal Network Dynamics

  Toshiaki Omori

  RIMS, Kyoto University, May 2019

  [Invited]


• Estimation of Spatiotemporal Dynamics based on Cable Equation - Mathematical Modeling of Odor Sensor Information Network

  Toshiaki Omori

  RIMS, Kyoto University, May 2018

  [Invited]


• データ駆動型アプローチに基づく神経ダイナミクスの抽出

  大森 敏明

  研究会「ホログラム光刺激による神経回路再編の人為的創出を目指して」, Oct. 2017

  [Invited]


• 神経樹状突起における電気的応答特性の抽出―データ駆動型アプローチによるダイナミクス推定―

  大森 敏明

  北海道大学大学院理学研究院 数学部門，北海道大学電子科学研究所附属 社会創造数学研究センター クロスボーダーシンポジウム, Jan. 2017

  [Invited]


• 時空間自己回帰モデルのスパース推定に基づく時間的超解像

  岸本大輝, 大森敏明

  電子情報通信学会 2016年総合大会, Mar. 2016


• Extracting Nonlinear Spatiotemporal Dynamics in Active Dendrites Using Data-Driven Statistical Approach

  International Meeting on "High-Dimensional Data Driven Science (HD3-2015)", Dec. 2015

  [Invited]


• データ駆動型アルゴリズムとその応用～潜在ダイナミクスの抽出技術～

  大森 敏明

  NINS/IURIC Colloquium 2015, Dec. 2015


• データ駆動型アプローチに基づく時空間ダイナミクスの推定

  大森 敏明

  計測自動制御学会 システム・情報部門 自律分散システム部会 第57回自律分散システム部会研究会「大規模システムのダイナミクス予測と制御に向けて」, Dec. 2015

  [Invited]


• Extracting Non-linear Spatiotemporal Dynamics in Active Dendrite: Data-Driven Statistical Approach

  Toshiaki Omori, Koji Hukushima

  The 45th Annual Meeting of Society for Neuroscience, Oct. 2015


• Extracting Non-linear Spatiotemporal Dynamics in Active Dendrite: Data-Driven Statistical Approach

  Toshiaki Omori, Koji Hukushima

  The 38th Annual Meeting of the Japan Neuroscience Society, Jul. 2015


• 樹状突起における非線形時空間ダイナミクスの抽出

  大森 敏明

  第59回システム制御情報学会研究発表講演会, May 2015


• カルシウムイメージングによる神経システムの統計的推定

  井上広明, 大森敏明

  第59回システム制御情報学会研究発表講演会, May 2015


• ベイズ統計に基づく神経細胞の電気回路モデルとネットワーク結合の同時推定

  片岡真一, 大森敏明

  第59回システム制御情報学会研究発表講演会, May 2015


• 不均質反応を支配する非線形ダイナミクスのベイズ解析～岩石形成ダイナミクスの理解に向けて～

  大森敏明, 桑谷立, 岡本敦, 福島孝治

  日本地球惑星科学連合2015年大会, May 2015


• Extracting Spatiotemporal Dynamics of Neural Systems: Computational and Statistical Approach

  Toshiaki Omori

  UC San Diego x Kobe University Joint Research Kick-off Symposium, Feb. 2015

  [Invited]


• イメージングデータからの脳神経ダイナミクスの抽出～状態空間モデルに基づく動態推定～

  大森 敏明

  「スパースモデリングの深化と高次元データ駆動科学の創成」，「核内クロマチン・ライブダイナミクスの数理研究拠点」合同シンポジウム，広島大学, Oct. 2013


• Extracting Spatiotemporal Dynamics of Dendritic Membrane Potential

  Toshiaki Omori

  7th APCTP-KAIST School for Brain Dynamics, Nov. 2012

  [Invited]


• Estimating Spatiotemporal Dynamics of Dendritic Membrane Potential – Information Extraction Using Bayesian Statistics

  Toshiaki Omori

  5th Annual Meeting of Japanese Society for Quantitative Biology, Nov. 2012

  [Invited]


• スパース性に基づく動的システムの統計的推定

  大森 敏明

  第56回システム制御情報学会研究発表講演会「学習・進化・適応の最新動向」, May 2012


• リズム現象の数理～非線形神経システムへの位相縮約によるアプローチ～

  大森 敏明

  知能化医療システム研究会, Jul. 2011


• 樹状突起に不均一に分布する膜応答特性の推定～ベイズ統計に基づく情報抽出～

  大森 敏明

  第5回学融合ビジュアライゼーションシンポジウム, Jun. 2011

  [Invited]


• Switch of Encoding Characteristics in Single Neurons by Subthreshold and Suprathreshold Stimuli

  T. Omori, T. Aonishi, M. Okada

  Japan-Germany Joint Workshop on Computational Neuroscience, Mar. 2011, English


• 樹状突起膜電位の時空間ダイナミクスを統計的に推定する

  大森敏明

  統計数理研究所研究会 神経科学と統計科学の対話, Dec. 2010


• Opening Remarks: "Dynamic Clamp: Bridging between Theory and Experiment"

  T. Omori

  Neuro2010, Sep. 2010


• Opening Remarks: "Dynamic Clamp: Bridging between Theory and Experiment"

  T. Omori

  Neuro2010, Sep. 2010


• Statistical Estimation of Non-Uniform Dendritic Membrane Properties

  T. Omori, T. Aonishi, M. Okada

  The Fourth International Neural Microcircuitry Conference, Signal Processing Mechanism of Cortical Neurons, Jun. 2010


• Statistical Estimation of Non-Uniform Dendritic Membrane Properties

  T. Omori, T. Aonishi, M. Okada

  The Fourth International Neural Microcircuitry Conference, Signal Processing Mechanism of Cortical Neurons, Jun. 2010


• イメージングデータからの神経樹状突起ダイナミクスの抽出

  大森敏明

  第3回学融合ビジュアライゼーションシンポジウム, May 2010

  [Invited]


• 入力刺激が閾値上か閾値下かに依存する神経細胞の符号化特性の変化

  大森敏明, 青西亨, 岡田真人

  日本物理学会第65回年次大会, Mar. 2010


• Estimation of Non-Uniform Membrane Property over the Dendrite: Data Assimilation Approach Using Bioimaging Data and Multi-Compartment Model

  T. Omori, T. Aonishi, H. Miyakawa, M. Inoue, M. Okada

  Asia Simulation Conference 2009, Oct. 2009


• 海馬CA1錐体細胞の樹状突起における膜特性分布の推定とその機能的意義の検討

  大森敏明, 青西亨, 宮川博義, 井上雅司, 岡田真人

  2008年度シナプス研究会「シナプス成熟と可塑性のダイナミクス」, Dec. 2008


• 樹状突起における膜応答特性の不均一性分布の推定

  大森敏明

  東京大学複雑系生命システム研究センター研究会「多次元複雑システムの観測科学」, Dec. 2008

  [Invited]


• Spike-Triggered Averageとスパイク応答モデルの関係

  大森敏明, 青西亨, 岡田真人

  日本物理学会2008年秋季大会, Sep. 2008


• 部分的に観測される膜電位データを用いた樹状突起膜電位の時空間分布推定

  大森敏明, 青西亨, 岡田真人

  第31回日本神経科学大会, Jul. 2008


• 神経活動データを用いた単一ニューロンの応答特性の推定

  大森敏明

  九州工業大学大学院生命体工学研究科脳情報専攻COEセミナー, Mar. 2007

  [Invited]


• 海馬CA1錐体細胞の樹状突起における膜特性分布の推定

  大森敏明

  東北大学情報数物研究会, Jun. 2006

  [Invited]


• NEURONシミュレータ入門

  大森敏明

  日本神経回路学会平成17年度時限研究会「プラットフォームシミュレータを用いた分子から神経回路までの統合的理解」, Sep. 2005

  [Invited]


• 細胞の摂動応答の光計測とシミュレータによる膜特性の推定(理論)

  大森敏明

  日本神経回路学会平成17年度時限研究会「プラットフォームシミュレータを用いた分子から神経回路までの統合的理解」, Sep. 2005

  [Invited]

• 電子情報通信学会


• 情報処理学会（シニア会員）


• 電気学会（上級会員）


• 計測自動制御学会


• システム制御情報学会


• 米国電気電子学会(IEEE)


• 米国計算機学会(ACM)


• 日本物理学会


• 日本応用数理学会


• 日本神経回路学会


• 人工知能学会


• 日本神経科学学会


• 北米神経科学学会(Society for Neuroscience)


• 日本地球惑星科学連合

• 科学技術振興機構(JST) CREST 予測・制御のための数理科学的基盤の創出

  Oct. 2024 - Mar. 2030


• 文部科学省 科学研究費補助金 国際共同研究加速基金(海外連携研究)

  大森敏明

  Apr. 2023 - Mar. 2029, Principal investigator


• 文部科学省 科学研究費補助金 基盤研究(B)

  大森 敏明

  Apr. 2021 - Mar. 2026, Principal investigator


• 東京大学地震研究所 共同研究B データサイエンスを活用した地球物理・化学データ解析とモデリングの精緻化

  Apr. 2025


• 科学技術振興機構（JST) CREST 数理的情報活用基盤

  Oct. 2019 - Mar. 2025

  Competitive research funding


• 日本医療研究開発機構(AMED) 脳とこころの研究推進プログラム

  Aug. 2021


• 科学技術振興機構, CREST バイオオプト, 2017


• 文部科学省:科学研究費補助金 基盤研究(C)

  大森 敏明

  2016, Principal investigator

  Competitive research funding


• 大森 敏明

  文部科学省, 科学研究費補助金 国際共同研究加速基金(国際共同研究強化), 2016, Principal investigator

  Competitive research funding


• 文部科学省, 科学研究費補助金 新学術領域研究 研究領域提案型 (スパースモデリングの深化と高次元データ駆動科学の創成，計画研究), 2013


• 大森 敏明

  MEXT, Grant-in-Aid for Young Scientists (B), 2013, Principal investigator

  Competitive research funding


• 大森 敏明

  日本学術振興会, 国際交流事業 (国際学会等派遣事業 第I期), 2010, Principal investigator

  Competitive research funding


• 大森敏明

  MEXT, Grant-in-Aid for Scientific Research on Innovative Areas, 2010, Principal investigator

  Competitive research funding


• 文部科学省:科学研究費補助金 基盤研究(C)

  大森 敏明

  2009, Principal investigator

  Competitive research funding


• 大森 敏明

  日本学術振興会, 国際交流事業 (国際学会等派遣事業 第III期), 2008, Principal investigator

  Competitive research funding


• 大森敏明

  MEXT, Grant-in-Aid for Special Purposes, 2008, Principal investigator

  Competitive research funding


• 大森敏明

  MEXT, Grant-in-Aid for JSPS Fellows, 2006, Principal investigator

  Competitive research funding


• 大森敏明

  MEXT, Grant-in-Aid for Young Scientists (B), 2005, Principal investigator

  Competitive research funding


• 大森敏明

  MEXT, Grant-in-Aid for JSPS Fellows, 2003, Principal investigator

  Competitive research funding

• 電気学会 電子・情報・システム部門 役員会 研究調査担当

  2025 - Present


• 電気学会 電子・情報・システム部門 研究調査運営委員会 副委員長

  2025 - Present


• Topic Editor, Frontiers in Neural Circuits, Bridging Computation, Biophysics, Medicine, and Engineering in Neural Circuits

  2024 - Present


• 電気学会 情報システム技術委員会 1号委員

  2021 - Present


• 情報処理学会論文誌 数理モデル化と応用編集委員会 編集委員

  2018 - Present


• 情報処理学会 数理モデル化と問題解決研究運営委員会 運営委員

  2017 - Present


• 電気学会 電子・情報・システム部門 研究調査運営委員会 幹事

  2023 - 2025


• 電気学会 電子・情報・システム部門 役員会 委員

  2023 - 2025


• Sponsorship Chair, Organizing Committee, IEEE World Congress on Computational Intelligence 2024 (WCCI 2024)

  2021 - 2024


• Program Committee Member, 15th IEEE/ACIS International Conference on Computer and Information Science (2016)

  2016 - 2016


• Organizing Committee Member, 23th International Conference on Neural Information Processings (2016)

  2016 - 2016


• 電気学会 関西支部 監事

  2014 - 2016


• システム制御情報学会 編集委員

  2014 - 2016


• 電気学会 選挙管理委員会 委員

  2013 - 2015


• Program Committee Member, 21th International Conference on Neural Information Processings (2014)

  2014 - 2014


• 電気学会 総務会議 委員

  2013 - 2014


• Secretary, Planning & General Affairs Kansai Branch The Institute of Electrical Engineers of Japan

  2012 - 2014


• 平成25年(第68回)電気関係学会関西連合大会 実行委員

  2013 - 2013


• 日本物理学会 領域11 領域役員（統計力学・物性基礎論）

  2013 - 2013


• 電気学会 創立125周年記念事業委員会 委員

  2012 - 2013


• 第57回システム制御情報学会研究発表講演会(SCI'13) 実行委員

  2012 - 2013


• 電気学会 創立125周年記念事業実行委員会 委員

  2012 - 2013


• 電気学会 広報委員会 委員

  2012 - 2013


• 電気学会 編修専門第3部会 委員

  2012 - 2012


• Program Committee Member, 18th International Conference on Neural Information Processings (2011).


• Program Committee Member, 17th International Conference on Neural Information Processings (2010).


• Program Committee Member, 16th International Conference on Neural Information Processings (2009).


• Technical Committee Member, 15th International Conference on Neural Information Processings (2008).


• Program Committee Member, 20th International Conference on Neural Information Processings (2013)