Theoretical Study on Probabilistic Slow Feature Analysis and Its Applications to Recognition Functions(Fostering Joint International Research)

• Project/Area Number: 15KK0010
• Research Category: Fund for the Promotion of Joint International Research (Fostering Joint International Research)
• Allocation Type: Multi-year Fund
• Research Field: Soft computing
• Research Institution: Kobe University
• Principal Investigator: Omori Toshiaki 神戸大学, 工学研究科, 准教授 (10391898)
• Project Period (FY): 2016 – 2019
• Project Status: Completed (Fiscal Year 2019)
• Budget Amount: ¥11,310,000 (Direct Cost: ¥8,700,000、Indirect Cost: ¥2,610,000)
• Keywords: データ駆動科学技術 / 理論神経科学 / 実験神経科学 / 計算神経科学 / データ駆動型神経科学 / 脳型人工知能 / 統計的機械学習 / 非線形時空間ダイナミクス / 神経回路ダイナミクス / データ駆動科学 / 計算科学 / 嗅覚情報処理 / 地球惑星科学 / 不均質反応ダイナミクス / 知的学習論 / 神経活動ダイナミクス / データ科学 / データ駆動型アプローチ / モデル駆動型アプローチ / イメージングデータ / グリア細胞 / 数理・データサイエンス / 情報計測融合 / 医工連携 / 実験計画 / 数理イメージング / システム生理学 / 時空間ダイナミクス / 統計科学 / 神経ネットワーク / 情報計測 / 偏微分方程式系 / 確率的情報処理 / 計算論的神経科学 / ダイナミクス抽出 / 高次元データ駆動科学

Outline of Final Research Achievements

In this study, we proposed methods based on computational and data-driven approaches for extracting spatiotemporal dynamics in neural systems. For this purpose, we constructed methods for estimating neural systems by means of data-driven approaches by using mathematical models with detailed electrical properties and spatial structure of neural systems. By assimilating spatiotemporal systems extracted by data-driven methods with observed neural activity data, we constructed methods for estimating large-scale neural network models based on observable data.

Academic Significance and Societal Importance of the Research Achievements

本研究では，計算科学とデータ駆動科学の融合により，計測データから神経システムの数理モデルの精緻な推定を実現する方法の構築を行った点において神経科学上の学術的意義を有すると考えられる．さらに，本研究では，数理構造の普遍性を抽出することで，スパースモデリングやベイズ推論を代表とするデータ駆動的手法により，神経システムの非線形ダイナミクスの推定のみならず，地球惑星科学などの他の学術領域における非線形ダイナミクスの抽出技術の構築をも行った．すなわち，本研究は，複雑ダイナミクスに従う動的システムをデータ駆動型手法で抽出するための共通的数理基盤を構築したという点においても学術的意義を有すると考えられる．

Research Products

• [Int'l Joint Research] カリフォルニア大学サンディエゴ校(米国) (2019)
• [Journal Article] Switching Probabilistic Slow Feature Analysis for Time Series Data (2020)
  • Author(s): Kazuki Tsujimoto and Toshiaki Omori
  • Journal Title: International Journal of Machine Learning and Computing Volume: －
  • Peer Reviewed
• [Journal Article] Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data (2020)
  • Author(s): Moe Yokoi and Toshiaki Omori
  • Journal Title: Proceedings of 2020 IEEE 2nd Global Conference on Life Sciences and Technologies Volume: －
  • Peer Reviewed
• [Journal Article] Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach (2019)
  • Author(s): Shuhei Fukami and Toshiaki Omori
  • Journal Title: Communications in Computer and Information Science Volume: 1143 Pages: 600-608
  • Peer Reviewed
• [Journal Article] Sparse Estimation of Neuronal Network Structure with Observed Data (2019)
  • Author(s): Ren Masahiro and Toshiaki Omori
  • Journal Title: Communications in Computer and Information Science Volume: 1143 Pages: 609-618
  • Peer Reviewed
• [Journal Article] Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions (2019)
  • Author(s): Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori
  • Journal Title: Lecture Notes in Computer Science Volume: 11054 Pages: 380-391
  • Peer Reviewed
• [Journal Article] Estimation of Neuronal Dynamics Based on Sparse Modeling (2019)
  • Author(s): Shinya Otsuka, Toshiaki Omori
  • Journal Title: Neural Networks Volume: 109 Pages: 137-146
  • DOI: 10.1016/j.neunet.2018.10.006
  • NAID: 40021219595
  • Peer Reviewed
• [Journal Article] Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion (2019)
  • Author(s): Yusuke Tanaka, Toshiaki Omori
  • Journal Title: accepted for publication in ACM International Conference Proceeding Series Volume: -
  • Peer Reviewed
• [Journal Article] Gaussian Process Dynamical Autoencoder Model (2019)
  • Author(s): Jo Takano, Toshiaki Omori
  • Journal Title: accepted for publication in ACM International Conference Proceeding Series Volume: -
  • Peer Reviewed
• [Journal Article] 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 (2018)
  • Author(s): 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
  • Journal Title: Frontiers in Cellular Neuroscience Volume: 12 Pages: 1-1
  • DOI: 10.3389/fncel.2018.00310
  • Peer Reviewed / Open Access
• [Journal Article] Microglia Enhance Synapse Activity to Promote Local Network Synchronization (2018)
  • Author(s): Ryohei Akiyoshi, Hiroaki Wake, Daisuke Kato, Hiroshi Horiuchi, Riho Ono, Ako Ikegami, Koichiro Haruwaka, Toshiaki Omori, Yoshihisa Tachibana, Andrew Moorhouse, Junichi Nabekura
  • Journal Title: eNeuro Volume: 5 Issue: 5 Pages: 0088-18
  • DOI: 10.1523/eneuro.0088-18.2018
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Multivariate Time Series Classification using DMD based Similarity Measure (2018)
  • Author(s): Taiki Tanaka, Toshiaki Omori
  • Journal Title: Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems Volume: - Pages: 1225-1228
  • Peer Reviewed
• [Journal Article] Estimation of Neural Network Dynamics Based on Sparse Modeling (2018)
  • Author(s): Ren Masahiro, Toshiaki Omori
  • Journal Title: Proceedings of the SICE Annual Conference 2018 Volume: - Pages: 1521-1524
  • NAID: 40021550898
  • Peer Reviewed
• [Journal Article] Harmonic Mean Similarity Based Quantum Annealing for k-means (2018)
  • Author(s): Jo Takano, Toshiaki Omori
  • Journal Title: Procedia Computer Science Volume: 144 Pages: 298-305
  • Peer Reviewed / Open Access
• [Journal Article] Sparse Super-Resolution Method Using Accelerated Cross-Validation (2018)
  • Author(s): Takenori Nakaya, Toshiaki Omori
  • Journal Title: ACM International Conference Proceeding Series Volume: －
  • Peer Reviewed
• [Journal Article] Belief Propagation for Probabilistic Slow Feature Analysis (2017)
  • Author(s): Toshiaki Omori, Tomoki Sekiguchi, Masato Okada
  • Journal Title: Journal of the Physical Society of Japan Volume: 86 Issue: 8 Pages: 084802-084802
  • DOI: 10.7566/jpsj.86.084802
  • Peer Reviewed / Open Access
• [Journal Article] Frame Rate Upconversion Using Sparse Spatio-Temporal Auto Regressive Model (2017)
  • Author(s): Yuusuke Tanaka, Daiki Kishimoto, Toshiaki Omori
  • Journal Title: Proceedings of 18th International Symposium on Advanced Intelligent Systems Volume: － Pages: 107-114
  • Peer Reviewed
• [Journal Article] Privacy Preserving Extreme Learning Machine Using Additively Homomorphic Encryption (2017)
  • Author(s): Shohei Kuri, Takuya Hayashi, Toshiaki Omori, Seiichi Ozawa, Yoshinori Aono, Le Trieu Phong, Lihua Wang, Shiho Moriai
  • Journal Title: Privacy Preserving Extreme Learning Machine Using Additively Homomorphic Encryption Volume: － Pages: 1350-1357
  • NAID: 170000176429
  • Peer Reviewed
• [Journal Article] t-Distributed Stochastic Neighbor Embedding Spectral Clustering (2017)
  • Author(s): Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
  • Journal Title: Proceedings of 2017 International Joint Conference on Neural Networks Volume: 1628-1632 Pages: 1628-1632
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Bayesian Estimation of Neural Systems using Particle-Gibbs (2017)
  • Author(s): Hiroaki Inoue, Toshiaki Omori
  • Journal Title: Proceedings of International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence Volume: -
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Nonparametric Estimation for Membrane Resistances Distributed Non-Uniformly in Neurons (2017)
  • Author(s): Seiya Yabuuchi, Toshiaki Omori
  • Journal Title: Proceedings of International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence Volume: -
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Bayesian inversion analysis of nonlinear dynamics in surface heterogeneous reactions (2016)
  • Author(s): T. Omori, T. Kuwatani, A. Okamoto, and K. Hukushima
  • Journal Title: Physical Review E Volume: 94(3) Issue: 3 Pages: 033305-033305
  • DOI: 10.1103/physreve.94.033305
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom (2016)
  • Author(s): Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
  • Journal Title: Proceedings of 23rd International Conference on Neural Information Processing Volume: - Pages: 119-128
  • Peer Reviewed / Int'l Joint Research
• [Presentation] Data-Driven Approach for Extracting Neuronal Non-linear Dynamics (2020)
  • Author(s): Toshiaki Omori
  • Organizer: The 8th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research / Invited
• [Presentation] Estimating Neural Dynamics Based on Data-driven Approach (2020)
  • Author(s): Toshiaki Omori
  • Organizer: The 97th Annual Meeting of the Physiological Society of Japan
  • Int'l Joint Research / Invited
• [Presentation] Super-resolution of X-ray CT Images of Rock Core Samples by Sparse Representation: Methodology and Applications to Serpetinized Peridotite from CM1A (2020)
  • Author(s): Atsushi Okamoto, Toshiaki Omori, Masao Kimura, Katsuyoshi Michibayashi, Oman Drilling Project Phase 2 Science Party
  • Organizer: International Conference on Ophiolites and the Oceanic Lithosphere
  • Int'l Joint Research
• [Presentation] Machine Learning Algorithm for Estimating Odor Pleasantness by Sparse Modeling Method (2020)
  • Author(s): Moe Yokoi and Toshiaki Omori
  • Organizer: The 8th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Data-driven Approach for Structure Estimation of Neural Networks (2020)
  • Author(s): Ren Masahiro and Toshiaki Omori
  • Organizer: The 8th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Online Statistical Algorithm for Estimation and Control of Neuronal Dynamics (2020)
  • Author(s): Shuhei Fukami and Toshiaki Omori
  • Organizer: The 8th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Bayesian Slow Feature Analysis Based on Variational Learning (2020)
  • Author(s): Masahiro Yashima and Toshiaki Omori
  • Organizer: The 8th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data (2020)
  • Author(s): Moe Yokoi and Toshiaki Omori
  • Organizer: 2020 IEEE 2nd Global Conference on Life Sciences and Technologies
  • Int'l Joint Research
• [Presentation] Switching Probabilistic Slow Feature Analysis for Time Series Data (2020)
  • Author(s): Kazuki Tsujimoto and Toshiaki Omori
  • Organizer: 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Int'l Joint Research
• [Presentation] Data-Driven Approach for Estimating Neuronal Network Dynamics (2019)
  • Author(s): Toshiaki Omori
  • Organizer: 京都大学数理解析研究所RIMS共同研究研究会
  • Invited
• [Presentation] オマーン掘削コア試料のX線CT画像の超解像 (2019)
  • Author(s): 大森敏明
  • Organizer: 名古屋大学環境学研究科第2回岩鉱ワークショップ「データ駆動型解析で挑む海洋リソスフェア研究」
  • Invited
• [Presentation] Extracting Neural Dynamics Based on Computational and Data-driven Approaches (2019)
  • Author(s): Toshiaki Omori
  • Organizer: Joint Symposium on Life Science, Computational Science, and Structural Engineering Between Kobe University and UC San Diego
  • Int'l Joint Research / Invited
• [Presentation] 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 (2019)
  • Author(s): 大森敏明
  • Organizer: 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」数学-生物学領域横断ワークショップ
  • Invited
• [Presentation] 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 (2019)
  • Author(s): 大森敏明
  • Organizer: 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・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
  • Invited
• [Presentation] Estimating Nonlinear Neuronal Dynamics Based on Sparse Modeling (2019)
  • Author(s): Toshiaki Omori and Shinya Otsuka
  • Organizer: Joint Meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry (Neuro2019)
  • Int'l Joint Research
• [Presentation] Structure Estimation of Neural Networks Based on Sparse Modeling (2019)
  • Author(s): Ren Masahiro and Toshiaki Omori
  • Organizer: Joint Meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry (Neuro2019)
  • Int'l Joint Research
• [Presentation] Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-driven Statistical Approach (2019)
  • Author(s): Shuhei Fukami and Toshiaki Omori
  • Organizer: 26th International Conference on Neural Information Processing
  • Int'l Joint Research
• [Presentation] Sparse Estimation of Neuronal Network Structure with Observed Data (2019)
  • Author(s): Ren Masahiro and Toshiaki Omori
  • Organizer: 26th International Conference on Neural Information Processing
  • Int'l Joint Research
• [Presentation] Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions (2019)
  • Author(s): Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi and Toshiaki Omori
  • Organizer: 26th International Conference on Neural Information Processing
  • Int'l Joint Research
• [Presentation] 岩石－水相互作用によるマルチスケール構造の理解のためのコア資料のX線CT画像の超解像 (2019)
  • Author(s): 大森敏明，岡本敦，道林克禎，Oman Drilling Project Phase 2 Science Party
  • Organizer: 日本地球惑星科学連合2019年大会
• [Presentation] 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 (2019)
  • Author(s): 伊藤雅起，桑谷立，大柳良平，大森敏明
  • Organizer: 日本地球惑星科学連合2019年大会
• [Presentation] スパースモデリングに基づく神経回路の構造推定 (2019)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第33回人工知能学会全国大会
• [Presentation] 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 (2019)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第18回情報科学技術フォーラム
• [Presentation] 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 (2019)
  • Author(s): 井上広明，大森敏明
  • Organizer: 第6回イメージング数理研究会
• [Presentation] 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 (2019)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第6回イメージング数理研究会
  • Int'l Joint Research
• [Presentation] Simultaneous Estimation of Neuronal Dynamics and Connectivity (2019)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第6回イメージング数理研究会
• [Presentation] 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 (2019)
  • Author(s): 横井萌絵，大森敏明
  • Organizer: 第6回イメージング数理研究会
• [Presentation] 生物に学ぶ効率的情報統合過程の数理モデル (2019)
  • Author(s): 久保英夫，大森敏明，竹市裕介，上尾達也，尾崎まみこ
  • Organizer: 第80回応用物理学会秋季学術講演会
• [Presentation] 昆虫嗅覚感覚子内の受容突起ネットワークの数理モデリング (2019)
  • Author(s): 高野城，大森敏明，久保英夫，上尾達也，竹市裕介，宮崎直幸，村田和義，泰山浩司，井上加奈子，梶村直子，北條賢，髙屋英知，栗原聡，尾﨑まみこ
  • Organizer: 定量生物学の会第9回年会
• [Presentation] Simulation based on Neuronal Cable Theory for Structures Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant (2019)
  • Author(s): Jo Takano, Toshiaki Omori, Hideo Kubo, Tatsuya Uebi, Yusuke Takeichi, Naoyuki Miyazaki, Kazuyoshi Murata, Kouji Yasuyama, Kanako Inoue, Naoko Kajimura, Masaru K Hojo, Eichi Takaya, Satoshi Kurihara, Mamiko Ozaki
  • Organizer: The 7th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Data-driven Approach for Extracting Neuronal Nonlinear Dynamics (2019)
  • Author(s): Junya Yamasaki, Shinya Otsuka, Toshiaki Omori
  • Organizer: The 7th RIEC International Symposium on Brain Functions and Brain Computer
  • Int'l Joint Research
• [Presentation] Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion (2019)
  • Author(s): Yusuke Tanaka, Toshiaki Omori
  • Organizer: 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Int'l Joint Research
• [Presentation] Gaussian Process Dynamical Autoencoder Model (2019)
  • Author(s): Jo Takano, Toshiaki Omori
  • Organizer: 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Int'l Joint Research
• [Presentation] ケーブル理論に基づく時空間ダイナミクスの推定ー匂いセンサ情報ネットワークの数理モデリングー (2018)
  • Author(s): 大森敏明
  • Organizer: 京都大学数理解析研究所 RIMS共同研究 研究会
  • Invited
• [Presentation] Estimation of Neural Network Dynamics Based on Data-driven Statistical Approach (2018)
  • Author(s): Toshiaki Omori
  • Organizer: 2018 IEEE Brain Initiative Workshop on Advanced NeuroTechnologies
  • Int'l Joint Research
• [Presentation] スパースモデリングに基づく神経回路ダイナミクスの推定 (2018)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第62回システム制御情報学会研究発表講演会
• [Presentation] データ駆動型アプローチによる地殻活動の理解と予測に向けて (2018)
  • Author(s): 堀高峰，桑谷立，大森敏明，岡田真人
  • Organizer: 日本地球惑星科学連合2018年大会
• [Presentation] データ駆動型アプローチに基づく神経システムの数理モデル推定 (2018)
  • Author(s): 政廣蓮，山崎潤也，大塚慎也，井上広明，大森敏明
  • Organizer: 第5回イメージング数理研究会
• [Presentation] スパースモデリングに基づく神経ネットワークの構造推定 (2018)
  • Author(s): 政廣蓮，大森敏明
  • Organizer: 第17回情報科学技術フォーラム
• [Presentation] Estimation of Neural Network Dynamics Based on Sparse Modeling (2018)
  • Author(s): Ren Masahiro, Toshiaki Omori
  • Organizer: The SICE Annual Conference 2018
  • Int'l Joint Research
• [Presentation] Multivariate Time Series Classification using DMD based Similarity Measure (2018)
  • Author(s): Taiki Tanaka, Toshiaki Omori
  • Organizer: Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems
  • Int'l Joint Research
• [Presentation] Simulation for Simplified Neural Network Model of Structures Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant (2018)
  • Author(s): Jo Takano, Toshiaki Omori, Hideo Kubo, Tatsuya Uebi, Yusuke Takeichi, Naoyuki Miyazaki, Kazuyoshi Murata, Kouji Yasuyama, Kanako Inoue, Naoko Kajimura, Masaru K Hojo, Eichi Takaya, Satoshi Kurihara, Mamiko Ozaki
  • Organizer: INCF Japan Node International Workshop on Advances in Neuroinformatics 2018
  • Int'l Joint Research
• [Presentation] 昆虫嗅覚感覚子内の受容突起ネットワークの実態と作動性の数理シミュレーション (2018)
  • Author(s): 上尾達也，竹市裕介，宮崎直幸，村田和義，泰山浩司，井上加奈子，久保英夫，梶村直子，高野城，大森敏明，北條賢，高屋英知，栗原聡，尾崎まみこ
  • Organizer: 日本味と匂学会第52回大会
• [Presentation] Putative Neural Network within an Olfactory Sensory Unit for Nestmate and Non-nestmate discrimination in the Japanese Carpeenter Ant: the Ultrastructures and Mathematical Simulation (2018)
  • Author(s): Yusuke Takeichi, Tatsuya Uebi, Naoyuki Miyazaki, Kazuyoshi Murata, Kouji Yasuyama, Kanako Inoue, Hideo Kubo, Naoko Kajiyama, Jo Takano, Toshiaki Omori, Mamiko Ozaki
  • Organizer: 日本比較生理生化学会第40回大会
• [Presentation] Harmonic Mean Similarity Based Quantum Annealing for k-means (2018)
  • Author(s): Jo Takano, Toshiaki Omori
  • Organizer: The 3rd INNS Conference on Big Data and Deep Learning
  • Int'l Joint Research
• [Presentation] Sparse Super-Resolution Method Using Accelerated Cross-Validation (2018)
  • Author(s): Takenori Nakaya, Toshiaki Omori
  • Organizer: 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Int'l Joint Research
• [Presentation] Bayesian Estimation of Neural Systems using Particle-Gibbs (2017)
  • Author(s): Hiroaki Inoue, Toshiaki Omori
  • Organizer: International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Place of Presentation: 九龍（香港）
  • Year and Date: 2017-03-26
  • Int'l Joint Research
• [Presentation] Nonparametric Estimation for Membrane Resistances Distributed Non-Uniformly in Neurons (2017)
  • Author(s): Seiya Yabuuchi, Toshiaki Omori
  • Organizer: International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
  • Place of Presentation: 九龍（香港）
  • Year and Date: 2017-03-26
  • Int'l Joint Research
• [Presentation] 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～ (2017)
  • Author(s): 大森敏明
  • Organizer: 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
  • Place of Presentation: 北海道大学（札幌市，北海道）
  • Year and Date: 2017-01-08
  • Invited
• [Presentation] Particle-MCMC による神経ネットワークの推定 (2017)
  • Author(s): 井上広明, 大森敏明
  • Organizer: 定量生物学の会第8回年会
  • Place of Presentation: 自然科学研究機構岡崎カンファレンスセンター（愛知県岡崎市）
  • Year and Date: 2017-01-08
• [Presentation] 機械学習による神経細胞の電気特性推定 (2017)
  • Author(s): 薮内聖也, 大森敏明
  • Organizer: 定量生物学の会第8回年会
  • Place of Presentation: 自然科学研究機構岡崎カンファレンスセンター（愛知県岡崎市）
  • Year and Date: 2017-01-08
• [Presentation] ベイズ統計に基づくIzhikevichニューロンの推定 (2017)
  • Author(s): 米澤諒, 大森敏明
  • Organizer: 定量生物学の会第8回年会
  • Place of Presentation: 自然科学研究機構岡崎カンファレンスセンター（愛知県岡崎市）
  • Year and Date: 2017-01-08
• [Presentation] 物理モデリングとスパースモデリングの融合による脳神経ダイナミクスの抽出 (2017)
  • Author(s): 大森敏明
  • Organizer: 第61回システム制御情報学会研究発表講演会
• [Presentation] スパースモデリングに基づく神経細胞ダイナミクスの推定 (2017)
  • Author(s): 大塚慎也, 大森敏明
  • Organizer: 第61回システム制御情報学会研究発表講演会
• [Presentation] 逐次モンテカルロ法に基づく不均質反応ダイナミクスの推定 (2017)
  • Author(s): 森本亮太，桑谷立，岡本敦，福島孝治, 大森敏明
  • Organizer: 第61回システム制御情報学会研究発表講演会
• [Presentation] スパースモデリングに基づく神経細胞非線形ダイナミクスの推定 (2017)
  • Author(s): 大塚慎也, 大森敏明
  • Organizer: 第16回情報科学技術フォーラム
• [Presentation] 岩石-水相互作用を支配する不均質反応ダイナミクスを統計的に推定する～ベイズ統計に基づく情報抽出～ (2017)
  • Author(s): 森本亮太，桑谷立，岡本敦，福島孝治, 大森敏明
  • Organizer: 第16回情報科学技術フォーラム
• [Presentation] Bayesian Inversion Analysis of Nonlinear Spatiotemporal Dynamics of Heterogeneous Reactions in Rock-Water Interactions (2017)
  • Author(s): Toshiaki Omori, Ryota Morimoto, Tatsu Kuwatani, Atsushi Okamoto, Koji Hukushima
  • Organizer: JpGU-AGU Joint Meeting 2017
  • Int'l Joint Research
• [Presentation] Optimization of Non-ideal Parameters of Amphibole Solid Solution Using Exchange Monte Carlo Method (2017)
  • Author(s): Atsushi Okamoto, Tatsu Kuwatani, Kenta Ueki, Toshiaki Omori, Koji Hukushima
  • Organizer: JpGU-AGU Joint Meeting 2017
  • Int'l Joint Research
• [Presentation] Extracting Neuronal Nonlinear Dynamics Based on Sparse Modeling (2017)
  • Author(s): Shinya Otsuka, Toshiaki Omori
  • Organizer: International Meeting on "High-Dimensional Data-Driven Science"
  • Int'l Joint Research
• [Presentation] Bayesian Inversion Analysis of Nonlinear Spatiotemporal Dynamics of Heterogeneous Reactions in Rock-Water Interaction (2017)
  • Author(s): Ryota Morimoto, Tatsu Kuwatani, Atsushi Okamoto, Koji Hukushima, Toshiaki Omori
  • Organizer: International Meeting on "High-Dimensional Data-Driven Science"
  • Int'l Joint Research
• [Presentation] Localization of Innexins in the Atennae of the Japanese Carpenter Ant, Camponotus Japonicus and Its Putative Involvement in the Chemosensory Mechanism for Nestmate-nonnestmate Discrimination (2017)
  • Author(s): Tatsuya Uebi, Yusuke Takeichi, Kouji Yasuyama, Naoyuki Miyazaki, Kazuyoshi Murata, Satoshi Kurihara, Eichi Takaya, Hideo Kubo, Toshiaki Omori, Mamiko Ozaki
  • Organizer: 51th Annual Meeting of the Japanese Association for the Study of Taste and Smell
  • Int'l Joint Research
• [Presentation] Localization of Innexin in the Antennae of the Japanese Carpenter Ant, Camponotus Japonicus, and Its Involvement in the Specific Functions of Dendritic Network for the Chemosensory System of Nestmate-nonnestmate Discrimination (2017)
  • Author(s): Tatsuya Uebi Yusuke Takeichi, Kouji Yasuyama, Naoyuki Miyazaki, Kazuyoshi Murata, Satoshi Kurihara, Eichi Takaya, Hideo Kubo, Toshiaki Omori, Mamiko Ozaki
  • Organizer: The 16th International Symposium on Molecular and Neural Mechanisms of Taste and Olfactory Perception
  • Int'l Joint Research
• [Presentation] 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 (2017)
  • Author(s): 大森敏明
  • Organizer: 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」
  • Invited
• [Presentation] Privacy Preserving Extreme Learning Machine Using Additively Homomorphic Encryption (2017)
  • Author(s): Shohei Kuri, Takuya Hayashi, Toshiaki Omori, Seiichi Ozawa, Yoshinori Aono, Le Trieu Phong, Lihua Wang, Shiho Moriai
  • Organizer: 2017 IEEE Symposium Series on Computational Intelligence
  • Int'l Joint Research
• [Presentation] t-Distributed Stochastic Neighbor Embedding Spectral Clustering (2017)
  • Author(s): Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
  • Organizer: 2017 International Joint Conference on Neural Networks
  • Int'l Joint Research
• [Presentation] Bayesian Inversion Analysis of Dendritic Nonlinear Dynamics (2016)
  • Author(s): Toshiaki Omori, Koji Hukushima
  • Organizer: Cell Symposia: Big Questions in Neuroscience
  • Place of Presentation: サンディエゴ（アメリカ合衆国）
  • Year and Date: 2016-11-11
  • Int'l Joint Research
• [Remarks] 大森敏明（神戸大学ウェブページ）
  • URL: http://www2.kobe-u.ac.jp/~omoritos/
• [Remarks] 大森敏明（researchmap）
  • URL: http://researchmap.jp/omori/
• [Remarks] 神経回路網シミュレーションモデル研究プロジェクト（神戸大学 先端融合研究環 統合研究領域）
  • URL: http://www.oair.kobe-u.ac.jp/ir/project/11.html
• [Remarks] 神戸大学 先端融合研究環 極みプロジェクト
  • URL: https://www.med.kobe-u.ac.jp/kiwami/
• [Remarks] 大森敏明（researchmap）
  • URL: https://researchmap.jp/omori/
• [Remarks] 神経回路網シミュレーションモデル研究プロジェクト（神戸大学先端融合研究環統合研究領域）
  • URL: http://www.oair.kobe-u.ac.jp/ir/project/11.html
• [Remarks] 神経回路網シミュレーションモデル研究プロジェクト（神戸大学先端融合環統合研究領域）
  • URL: http://www.oair.kobe-u.ac.jp/ir/project/11.html