Basic Information

Faculty

• 工学部

Professional Memberships

• Society for neuroscience
• The Institute of Electronics, Information and Communication Engineers
• The Japan Neuroscience Society
• Japanese Neural Network Society
• The Physical Society of Japan

Academic Degree

• 修士（理学）(京都大学)
• 博士（理学）(京都大学)

Academic Resume (Graduate Schools)

• 京都大学, 大学院理学研究科修士課程物理学・宇宙物理学専攻, 修了
• 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

Academic Resume (Undergraduate School/Majors)

• 京都大学, 理学部, 卒業

Research History

• From Apr. 2018, To Present

  Kyoto University Graduate School of Information Science and Technology Department of Bioinformatic Engineering, 准教授
• From Dec. 2012, To Mar. 2018

  Osaka University, Associate Professor
• From Sep. 2010, To Nov. 2012

  Brain Science Institute, RIKEN, Deputy laboratory head
• From Apr. 2008, To Aug. 2010

  RIKEN, 基礎科学特別研究員
• From Apr. 2005, To Mar. 2008

  RIKEN, 研究員
• From Apr. 2003, To Mar. 2005

  Tamagawa University Research Institute, COE researcher
• From Mar. 2003

  理学博士取得（京都大学）

Profile

• Profile

  He received his doctorate in physics from Kyoto University in 2003. His research interests include stochastic phenomena in nonlinear dynamical systems, fluctuation and probabilistic computation in the brain, neuro-inspired, or neuro-morphic computation, and learning algorithms for neural networks.

Language of Instruction

• English
• Japanese

ID,URL

• ORCID ID

  0000-0003-3255-0253

• J-Global ID

  201101049478576426

• Researcher number

  50384722

• External link

  https://www-np.acs.i.kyoto-u.ac.jp//~teramae/index_en.html

researchmap URL

• https://researchmap.jp/teramae

Research

Research Topics, Overview of the research

• Research Topics

  Theoretical neuroscience, Nonlinear Physics

• Overview of the research

  The brain is a highly complex network composed of a huge number of neurons and synapses. Rapidly developing technologies in neuroscience give us detailed knowledge of the network structure and activity of neurons and synapses. However, significant questions still remain elusive: how does our brain work; how does it learn; what is the nature of neural computation; and what is intelligence. Here, we are trying to answer to these questions. We integrate neuroscience, mathematics, information theory, machine learning, computer science, and physics to find answers of these questions. In other words, we explore a frontier of an interdisciplinary research field of computational neuroscience. We are seeking underlying principles of intelligence with combining latest findings of neuroscience and rapidly developing theories of computer science including machine learning or artificial intelligence.

Research Interests

• Neural networks
• Nonlinear physics
• Theoretical neuroscience
• 包括脳ネットワーク
• 同期
• ネットワーク
• 不均一性
• 連想記憶
• 確率過程
• 情報表現
• 揺らぎ
• 位相
• 同期発火
• 自発発火
• 非線形振動子
• べき乗法則
• 確率微分方程式
• ノイズ
• temoral coding
• neuronal avalanche
• べき乗則
• 局所回路
• synfire chain
• 発達
• 位相応答
• 大脳皮質
• ソフト・コンピューティング
• 生物生体工学
• 認知科学
• 脳・神経
• 生物・生体情報
• 計算機シミュレーション
• 統計物理学
• 数理工学

Research Areas

• Life sciences, Neuroscience - general
• Informatics, Biological, health, and medical informatics

Papers

• Smoothed Robustness Analysis: Bridging worst- and average-case robustness analyses via smoothed analysis

  Thomas Rodrigues Crespo; Jun-nosuke Teramae

  Transactions on Machine Learning Research, 11 Jan. 2024, Peer-reviewed, Last author, Corresponding author

  
• Note of Lecture by Dr. Jun-nosuke Teramae in ASCONE2011: Exploring Neural Information Processing -Collaboration of Cortical Circuit and Spontaneous Activity-

  Masanori Shiro

  The Brain & Neural Networks, 2017

  
• Deep Learning for Face Detection and Pain Assessment in Japanese macaques (Macaca fuscata).

  Vanessa N Gris; Thomás R Crespo; Akihisa Kaneko; Munehiro Okamoto; Juri Suzuki; Jun-Nosuke Teramae; Takako Miyabe-Nishiwaki

  Journal of the American Association for Laboratory Animal Science : JAALAS, 01 Mar. 2024, Peer-reviewed

  
• Dual sampling neural network: Learning without explicit optimization

  Jun-nosuke Teramae; Yasuhiro Tsubo

  Physical Review Research, 21 Oct. 2022, Peer-reviewed

  Access this paper :

  
• The lower bound of the network connectivity guaranteeing in-phase synchronization

  Ryosuke Yoneda; Tsuyoshi Tatsukawa; Jun-nosuke Teramae

  Chaos: An Interdisciplinary Journal of Nonlinear Science, Jun. 2021, 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

  
• Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks

  Hisashi Kada; Jun-nosuke Teramae; Isao T. Tokuda

  Frontiers in Computational Neuroscience, 2018, Peer-reviewed

  
• Distributed multipath routing with packet allocation based on the attractor renewal model

  Yoshihiko Saitoh; Jun-nosuke Teramae; Naoki Wakamiya

  Nonlinear Theory and Its Applications, IEICE, 2018, Peer-reviewed

  
• Macroscopic neural mass model constructed from a current-based network model of spiking neurons

  Hiroaki Umehara; Masato Okada; Jun-nosuke Teramae; Yasushi Naruse

  Biological Cybernetics, Feb. 2017, Peer-reviewed

  
• An efficient sleep/wake-up protocol for localization in impulse wireless sensor networks.

  Haruka Kubota; Jun-nosuke Teramae; Naoki Wakamiya

  2017 23rd Asia-Pacific Conference on Communications (APCC), 2017, Peer-reviewed

  
• Effective Suppression of Pathological Synchronization in Cortical Networks by Highly Heterogeneous Distribution of Inhibitory Connections

  Hisashi Kada; Jun-Nosuke Teramae; Isao T. Tokuda

  Frontiers in Computational Neuroscience, Oct. 2016, Peer-reviewed

  
• Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling

  Ferdinand Peper; Kenji Leibnitz; Jun-nosuke Teramae; Tetsuya Shimokawa; Naoki Wakamiya

  IEEE Internet of Things Journal, Feb. 2016, Peer-reviewed

  
• Inferred Duality of Synaptic Connectivity in Local Cortical Circuit with Receptive Field Correlation.

  Kohei Watanabe; Jun-nosuke Teramae; Naoki Wakamiya

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

  
• Biologically-inspired adaptive routing protocol with stochastic route exploration.

  Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya

  EAI Endorsed Trans. Mob. Commun. Appl., 2016, Peer-reviewed

  
• Special Section on Recent Progress in Nonlinear Dynamics in Biological Systems

  Jun-nosuke Teramae; Yasuhiro Tsubo

  Nonlinear Theory and Its Applications, IEICE, 2016

  
• Long-tailed Distribution of Synaptic Strength Reveals Origin and Functional Roles of Ongoing Fluctuation in Cortical Circuit

  Jun-nosuke Teramae

  PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015), 2016, Peer-reviewed

  
• An Adaptive Routing Protocol with Balanced Stochastic Route Exploration and Stabilization Based on Short-Term Memory

  Tomohiro NAKAO; Jun-nosuke TERAMAE; Naoki WAKAMIYA

  IEICE Transactions on Communications, 2016, Peer-reviewed

  
• Localization and area localization in impulse-radio wireless sensor networks

  Haruka Kubota; Jun-nosuke Teramae; Naoki Wakamiya

  2016 IEEE SENSORS, 2016, Peer-reviewed

  
• Biologically-inspired adaptive routing protocol with stochastic route exploration.

  Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya

  BICT 2015, Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)(BICT), 2015, Peer-reviewed

  
• Brain-Inspired Communication Technologies: Information Networks with Continuing Internal Dynamics and Fluctuation.

  Jun-nosuke Teramae; Naoki Wakamiya

  IEICE Trans. Commun., 2015, Peer-reviewed

  
• Synchronized Firing Induced by Correlated Bidirectional Couplings in a Neural Network Model for Spontaneous Activity

  Hisashi Kada; Jun-nosuke Teramae; Isao T. Tokuda

  Journal of Signal Processing, 2015, Peer-reviewed

  
• Brain-Inspired Communication Technologies: Information Networks with Continuing Internal Dynamics and Fluctuation

  Jun-nosuke TERAMAE; Naoki WAKAMIYA

  IEICE Transactions on Communications, 2015, Peer-reviewed

  
• Dense Neuron Clustering Explains Connectivity Statistics in Cortical Microcircuits

  Vladimir V. Klinshov; Jun-nosuke Teramae; Vladimir I. Nekorkin; Tomoki Fukai; Bard Ermentrout

  PLoS ONE, Apr. 2014, Peer-reviewed

  
• Lessons From Spontaneous Neural Noise Genesis on Neuromorphic Engineering [Further Thoughts]

  Tomoki Fukai; Jun-nosuke Teramae

  Proceedings of the IEEE, Apr. 2014, Peer-reviewed

  
• Computational Implications of Lognormally Distributed Synaptic Weights

  Jun-nosuke Teramae; Tomoki Fukai

  Proceedings of the IEEE, Apr. 2014, Peer-reviewed

  
• Distributed Routing Protocol Based on Biologically-Inspired Attractor Selection with Active Stochastic Exploration and a Short-Term Memory.

  Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya

  2014 IEEE 11TH INTL CONF ON UBIQUITOUS INTELLIGENCE AND COMPUTING AND 2014 IEEE 11TH INTL CONF ON AUTONOMIC AND TRUSTED COMPUTING AND 2014 IEEE 14TH INTL CONF ON SCALABLE COMPUTING AND COMMUNICATIONS AND ITS ASSOCIATED WORKSHOPS, 2014, Peer-reviewed

  
• Cortical Networks with Lognormal Synaptic Connectivity and Their Implications in Neuronal Avalanches

  Tomoki Fukai; Vladimir Klinshov; Jun-nosuke Teramae

  CRITICALITY IN NEURAL SYSTEMS, 2014, Peer-reviewed

  
• Optimal spike-based communication with internal fluctuation in cortical networks

  Jun-nosuke Teramae; Tomoki Fukai

  IEICE Proceeding Series, 2014, Peer-reviewed

  
• Associative memory model with long-tail-distributed Hebbian synaptic connections

  Naoki Hiratani; Jun-Nosuke Teramae; Tomoki Fukai

  Frontiers in Computational Neuroscience, 2013, Peer-reviewed

  
• On Neuro-inspired Wireless Sensor Networks.

  Ferdinand Peper; Naoki Wakamiya; Akifumi Kasamatsu; Shukichi Tanaka; Kenji Leibnitz; Jun-nosuke Teramae; Katsuyuki Kasai; Akira Otomo

  2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013, Peer-reviewed

  
• Long-Tailed Statistics of Corticocortical EPSPs: Origin and Computational Role of Noise in Cortical Circuits

  Jun-nosuke Teramae; Yasuhiro Tsubo; Tomoki Fukai

  Advances in Cognitive Neurodynamics (III), 2013, Peer-reviewed

  
• Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links

  Jun-nosuke Teramae; Yasuhiro Tsubo; Tomoki Fukai

  Scientific Reports, 02 Jul. 2012, Peer-reviewed

  
• Lognormal sparse connectivity generates intrinsic noise optimal for information processing in cortical networks

  Jun-nosuke Teramae; Yasuhiro Tsubo; Tomoki Fukai

  Neuroscience Research, Sep. 2011, Peer-reviewed

  
• Dynamics of Limit-Cycle Oscillators Subject to General Noise

  Denis S. Goldobin; Jun-nosuke Teramae; Hiroya Nakao; G. Bard Ermentrout

  Physical Review Letters, 04 Oct. 2010, Peer-reviewed

  
• Effective long-time phase dynamics of limit-cycle oscillators driven by weak colored noise

  Hiroya Nakao; Jun-nosuke Teramae; Denis S. Goldobin; Yoshiki Kuramoto

  Chaos: An Interdisciplinary Journal of Nonlinear Science, Sep. 2010, Peer-reviewed

  
• A long-tailed EPSP distribution accounts for the up-state, low-rate asynchronous firings, and precise firing sequences in cortical networks

  Jun-nosuke Teramae; Tomoki Fukai

  Neuroscience Research, Jan. 2010, Peer-reviewed

  
• Dynamics of Limit-Cycle Oscillators Subject to General Noise

  Goldobin, Denis S.; Teramae, Jun-nosuke; Nakao, Hiroya; Ermentrout, G. Bard

  Physical Review Letters, 2010, Peer-reviewed

  
• Stochastic Phase Reduction for a General Class of Noisy Limit Cycle Oscillators

  Jun-nosuke Teramae; Hiroya Nakao; G. Bard Ermentrout

  Physical Review Letters, May 2009, Peer-reviewed

  
• Reliability of response spike timings in pulse-coupled networks of neurons

  Jun-nosuke Teramae; Tomoki Fukai

  BMC Neuroscience, 2009, Peer-reviewed

  
• Correlation between output spike trains of feed forward network receiving common input

  Yasuhiro Nishigaki; Jun-nosuke Teramae; Tomoki Fukai

  Neuroscience Research, Jan. 2009, Peer-reviewed

  
• Trade-off between cell-to-cell synchronization and trial-to-trial reliability in recurrent networks of neurons

  Jun-nosuke Teramae; Tomoki Fukai

  Neuroscience Research, Jan. 2009, Peer-reviewed

  
• Stochastic Phase Reduction for a General Class of Noisy Limit Cycle Oscillators

  Teramae, Jun-nosuke; Nakao, Hiroya; Ermentrout, G. Bard

  Physical Review Letters, 2009, Peer-reviewed

  
• Temporal Precision of Spike Response to Fluctuating Input in Pulse-Coupled Networks of Oscillating Neurons

  Jun-nosuke Teramae; Tomoki Fukai

  PHYSICAL REVIEW LETTERS, Dec. 2008, Peer-reviewed

  
• [Formation of cortical cell assemblies--synaptic plasticity and beyond].

  Tomoki Fukai; Siu Kang; Katsunori Kitano; Jun-nosuke Teramae

  Brain and nerve = Shinkei kenkyu no shinpo, Jul. 2008, Peer-reviewed

  
• Temporal Precision of Spike Response to Fluctuating Input in Pulse-Coupled Networks of Oscillating Neurons

  Jun-nosuke Teramae; Tomoki Fukai

  Physical Review Letters, 2008, Peer-reviewed

  
• Complex evolution of spike patterns during burst propagation through feed-forward networks.

  Jun-nosuke Teramae; Tomoki Fukai

  Biological Cybernetics, 2008, Peer-reviewed

  
• Synchronization of Excitatory Neurons with Strongly Heterogeneous Phase Responses

  Yasuhiro Tsubo; Jun-nosuke Teramae; Tomoki Fukai

  Physical Review Letters, Nov. 2007, Peer-reviewed

  
• Synchronization of excitatory neurons with strongly heterogeneous phase responses

  Yasuhiro Tsubo; Jun-nosuke Teramae; Tomoki Fukai

  PHYSICAL REVIEW LETTERS, Nov. 2007, Peer-reviewed

  
• Sequential associative memory with nonuniformity of the layer sizes

  Jun-nosuke Teramae; Tomoki Fukai

  Physical Review E, 11 Jan. 2007, Peer-reviewed

  
• Synchronization of excitatory neurons with strongly heterogeneous phase response

  Yasuhiro Tsubo; Jun-nosuke Teramae; Tomoki Fukai

  Neuroscience Research, Jan. 2007, Peer-reviewed

  
• Computational studies of activity propagations through feed-forward networks of burst neurons

  Jun-nosuke Teramae; Hideyuki Cateau; Alex Reyes; Tomoki Fukai

  Neuroscience Research, Jan. 2007, Peer-reviewed

  
• Local cortical circuit model inferred from power-law distributed neuronal avalanches.

  Jun-nosuke Teramae; Tomoki Fukai

  J. Comput. Neurosci., 2007, Peer-reviewed

  
• Sequential associative memory with nonuniformity of the layer sizes

  Jun-nosuke Teramae; Tomoki Fukai

  PHYSICAL REVIEW E, Jan. 2007, Peer-reviewed

  
• Neuronal avalanches reveal neuronal wirings of layer 2/3 cell assemblies

  Jun-nosuke Teramae; Tomoki Fukai

  NEUROSCIENCE RESEARCH, 2006, Peer-reviewed

  
• Noise Induced Phase Synchronization of a General Class of Limit Cycle Oscillators

  Jun-nosuke Teramae; Dan Tanaka

  Progress of Theoretical Physics Supplement, 2006, Peer-reviewed

  
• A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory.

  Jun-nosuke Teramae; Tomoki Fukai

  J. Comput. Neurosci., 2005, Peer-reviewed

  
• Robustness of the Noise-Induced Phase Synchronization in a General Class of Limit Cycle Oscillators

  Jun-nosuke Teramae; Dan Tanaka

  Physical Review Letters, Nov. 2004, Peer-reviewed

  
• System-Size Effects on the Collective Dynamics of Cell Populations with Global Coupling

  TERAMAE Jun-nosuke; Department of Physics Graduate School of Sciences Kyoto University

  Progress of Theoretical Physics, 25 Jan. 2003

  
• Strong desynchronizing effects of weak noise in globally coupled systems

  Jun-nosuke Teramae; Yoshiki Kuramoto

  Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 2001, Peer-reviewed

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Misc.

• A Stochastic Brain-inspired Framework for Probabilistic Learning-Learning Algorithm without Explicit Backpropagation for Optimization-

  寺前順之介

  人工知能, 01 Mar. 2025

  
• 確率的ニューラルネットワークの学習による知覚交代現象の出現

  渡邉大師; 寺前順之介

  日本生物学的精神医学会(Web), 2024

  
• 培養神経系で同時発生する神経雪崩と最適べき則符号化

  中牟田旭; 寺前順之介

  日本生物学的精神医学会(Web), 2024

  
• 大脳皮質における冪乗則符号化の情報論的最適性

  立川剛至; 寺前順之介

  日本生物学的精神医学会(Web), 2024

  
• 嗅内皮質graded-persistent-activityニューロンを含む神経細胞集団に対する動的平均場理論

  富田風太; 寺前順之介

  日本生物学的精神医学会(Web), 2024

  
• Ca²⁺イメージングを用いた文脈恐怖条件付けにおける記憶痕跡細胞の割り当て機構の解明

  小林曉吾; 立川剛至; 寺前順之介; 松尾直毅

  日本生物学的精神医学会(Web), 2024

  
• 非線形ニューラルネットワークによる過渡的増幅軌道を示す入力依存記憶の実現

  戸本新大; 寺前順之介

  日本生物学的精神医学会(Web), 2024

  
• Correlation dynamics between data and parameters in the learning process of neural networks

  渡邉大師; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2024

  
• 文脈依存的恐怖条件付け学習におけるマウス海馬CA1細胞のカルシウムイメージング

  松尾直毅; 立川剛至; 寺前順之介; 小林曉吾

  日本生物学的精神医学会(Web), 2024

  
• Self-organization of the power-law and spatiotemporal structure of the principal components of neural dynamics

  中牟田旭; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2024

  
• Nonlinear recurrent neural networks for transient dynamics on amplified trajectories

  戸本新大; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2024

  
• Theoretical analysis for reservoir computing with Graded persistent activity neurons model

  富田風太; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2023

  
• Low dimension neuron model that show nonlinear response by dendritic action potential

  佐伯卓哉; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2023

  
• Statistics of output sequences of sampling-based neural networks for ambiguous inputs

  渡邉大師; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2023

  
• Weight fluctuation and energy landscape of a sampling-based neural network

  後藤裕也; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2023

  
• Optimality of Power-law Coding in Cerebral Cortex based on Information-theoretic Analysis

  立川剛至; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2023

  
• Graded persistent activityを示すニューロンモデルを用いたReservoir computing

  富田風太; 寺前順之介

  日本神経化学会大会抄録集(Web), 2022

  
• 文脈依存的恐怖条件付け学習におけるマウス海馬CA1細胞のカルシウムイメージング

  小林曉吾; 高島魁斗; 寺前順之介; 松尾直毅

  日本神経化学会大会抄録集(Web), 2022

  
• Spontaneous activity of the cortex and the predictive coding hypothesis for pain perception

  寺前順之介

  日本運動器疼痛学会誌(CD-ROM), Jun. 2022, Peer-reviewed

  
• 裾野の広いEPSP分布は大脳皮質のUP状態、低頻度非同期発火、精緻な発火時系列を一括して説明する(A long-tailed EPSP distribution accounts for the up-state, low-rate asynchronous firings, and precise firing sequences in cortical networks)

  寺前 順之介; 深井 朋樹

  神経化学, Aug. 2010

  
• Formation of Cortical Cell Assemblies: Synaptic Plasticity and Beyond

  深井 朋樹; 姜 時友; 北野 勝則; 寺前 順之介

  BRAIN and NERVE: 神経研究の進歩, Jul. 2008

  
• 単一神経細胞における多安定発火状態の実現メカニズム,及びワーキングメモリー機能との関連(A novel cellular mechanism for graded persistent activity in a model neuron and its implications in working memory)

  寺前 順之介; 深井 朋樹

  神経化学, Aug. 2004

  
• Learning and Computation based on dual stochasticity of neurons and synapses in the brain

  寺前順之介

  電子情報通信学会技術研究報告(Web), 2022

  
• Reservoir computing with Graded persistent activity neurons model

  富田風太; 寺前順之介

  日本物理学会講演概要集(CD-ROM), 2022

  
• 大脳皮質の自発活動とネットワーク特性

  寺前順之介

  日本運動器疼痛学会誌(CD-ROM), 2021

  
• Evaluation of Binary Sensing with Adaptive Thresholds in Spiking Wireless Sensor Networks (知的環境とセンサネットワーク)

  Peper Ferdinand; Leibnitz Kenji; Shimokawa Tetsuya; Teramae Junnosuke; Kasamatsu Akifumi; Tanaka Shukichi; Wakamiya Naoki

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 25 May 2017

  
• 動的ヘテラルキー-脳は階層固定的か?B.各論 神経科学 脳の確率性とネットワーク構造

  寺前順之介

  Clinical Neuroscience, 2021

  
• 人工知能・人工頭脳 : 脳の数理モデルの進化史 (特集 SFと数理科学)

  寺前 順之介

  数学セミナー, Jan. 2021

  
• Theoretical Physics for the brain and leaning

  Jun-nosuke Teramae

  物性研究・電子版, Feb. 2020

  Access this misc :

  
• 座談会 数理工学の世界

  合原 一幸; 太田 快人; 小野 廣隆; 小林 亮; 寺前 順之介; 青柳 富誌生

  数学セミナー, Oct. 2019

  
• 数理のクロスロード(第15回)脳と知能の数理 : 理論神経科学の最前線(3)ニューラルネットワークの構造と機能

  寺前 順之介

  数学セミナー, Mar. 2019

  
• 数理のクロスロード(第14回)脳と知能の数理 : 理論神経科学の最前線(2)神経細胞ネットワークの数学

  寺前 順之介

  数学セミナー, Feb. 2019

  
• 数理のクロスロード(第13回)脳と知能の数理 : 理論神経科学の最前線(1)神経細胞の数学

  寺前 順之介

  数学セミナー, Jan. 2019

  
• The learning algorithm derived from minimizing the difference of local energy under asymmetric connections

  Tomita Futa; Teramae Jun-nosuke; Wakamiya Naoki

  Meeting Abstracts of the Physical Society of Japan, 2018

  
• A brain-type learning algorithm as fixation of training data

  Teramae Jun-nosuke; Wakamiya Naoki

  Meeting Abstracts of the Physical Society of Japan, 2018

  
• Local Circuit Structure and Computation in the Brain

  寺前 順之介

  情報処理 : 情報処理学会誌 : IPSJ magazine, Jan. 2018

  
• Brain Scinece for Future AI and ICT：5. Local Circuit Structure and Computation in the Brain

  寺前 順之介

  情報処理, 15 Dec. 2017

  
• Cooperation between noise and neural activity in the cortical network model

  嘉田 久嗣; 寺前 順之介; 徳田 功

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 09 Nov. 2017

  
• Reinforcement learning for visual attention with scalable size of attentional field

  村田 悠太朗; 寺前 順之介; 若宮 直紀

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 23 Jun. 2017

  
• Let's go to IEICE Workshops!:Complex Communication Science (CCS)

  TERAMAE Jun-nosuke

  IEICE ESS Fundamentals Review, 2017

  
• Stochastic Communication and Computation in the Brain

  寺前順之介

  電子情報通信学会誌, Oct. 2016

  
• Multi-hop localization based on recursive Bayesian estimation for wireless sensor networks

  寺前 順之介; 若宮 直紀

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 09 Aug. 2016

  
• Multi-hop localization based on recursive Bayesian estimation for wireless sensor networks

  寺前順之介; 若宮直紀; 寺前順之介; 若宮直紀

  電子情報通信学会技術研究報告, 02 Aug. 2016

  
• ディープラーニング―人工知能は脳を超えるか シナプス 対数正規分布するシナプス結合の意味

  寺前順之介

  Clinical Neuroscience, 01 Aug. 2016

  
• Global structure of the clusters in local cortical circuit with receptive field correlation

  渡邉 航平; 寺前 順之介; 若宮 直紀

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 04 Jul. 2016

  
• Global structure of the clusters in local cortical circuit with receptive field correlation

  渡邉航平; 寺前順之介; 寺前順之介; 若宮直紀; 若宮直紀

  電子情報通信学会技術研究報告, 27 Jun. 2016

  
• Localization and area localization in impulse wireless sensor networks

  久保田 遥; 寺前 順之介; 若宮 直紀

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 19 May 2016

  
• Localization and area localization in impulse wireless sensor networks

  久保田遥; 寺前順之介; 若宮直紀

  電子情報通信学会技術研究報告, 12 May 2016

  
• 発火する神経細胞モデルの集団から組む神経集団モデルの周波数特性

  梅原広明; 岡田真人; 岡田真人; 寺前順之介; 成瀬康

  日本物理学会講演概要集(CD-ROM), 22 Mar. 2016

  
• 21pBS-3 Frequency characteristics of a macroscopic neural mass model constructed from a network model of spiking neurons

  Umehara H; Okada M.; Teramae J.; Naruse Y.

  Meeting Abstracts of the Physical Society of Japan, 2016

  
• A macroscopic neural mass model constructed from a current-based network of spiking neurons

  梅原 広明; 岡田 真人; 寺前 順之介

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 09 Nov. 2015

  
• A macroscopic neural mass model constructed from a current-based network of spiking neurons

  梅原広明; 岡田真人; 岡田真人; 寺前順之介; 成瀬康

  電子情報通信学会技術研究報告, 02 Nov. 2015

  
• 巨視的な神経集団モデルと発火する電流ベース神経モデルとの対応

  梅原広明; 岡田真人; 岡田真人; 岡田真人; 寺前順之介; 寺前順之介; 成瀬康; 成瀬康

  日本神経回路学会全国大会講演論文集, 02 Sep. 2015

  
• Local Circuit and Nonlinear Dynamics of Spontaneous Fluctuation in the cortex

  寺前 順之介

  回路とシステムワークショップ論文集 Workshop on Circuits and Systems, 03 Aug. 2015

  
• 神経細胞モデル集団の周波数応答

  梅原広明; 寺前順之介; 成瀬康

  日本物理学会講演概要集(CD-ROM), 24 Mar. 2015

  
• 抑制性結合の不均一性による神経発火の脱同期と安定性

  嘉田久嗣; 寺前順之介; 徳田功

  日本物理学会講演概要集(CD-ROM), 24 Mar. 2015

  
• Element model of neural mass from spiking neuron model

  UMEHARA Hiroaki; TERAMAE Jun-nosuke; NARUSE Yasushi

  IEICE technical report. ME and bio cybernetics, 16 Mar. 2015

  
• Element model of neural mass from spiking neuron model

  UMEHARA Hiroaki; TERAMAE Jun-nosuke; NARUSE Yasushi

  IEICE technical report. ME and bio cybernetics, 16 Mar. 2015

  
• B-18-13 In-Network Processing with Low-Complexity Nodes in Wireless Sensor Networks

  Peper Ferdinand; Leibnitz Kenji; Teramae Jun-nosuke; Wakamiya Naoki

  Proceedings of the IEICE General Conference, 24 Feb. 2015

  
• AP-1 What are Complex Communication Sciences (CCS)?

  OKADA Hiraku; HASEGAWA Mikio; ITAYA Satoko; TERAMAE Jun-nosuke; HORIO Yoshihiko; AONO Masashi; TAKAYASU Misako

  Proceedings of the IEICE General Conference, 24 Feb. 2015

  
• 21pBL-3 Frequency Response of a Neuron Model Mass and a Neural Mass Model

  Umehara H.; Teramae J.; Naruse Y.

  Meeting Abstracts of the Physical Society of Japan, 2015

  
• 21pBL-2 Desynchronization of neural firing induced by lognormally distributed inhibitory connections

  Kada Hisashi; Teramae Jun-nosuke; Tokuda Isao T.

  Meeting Abstracts of the Physical Society of Japan, 2015

  
• 脳・神経システムの情報科学

  寺前順之介

  生体の科学, 15 Oct. 2014

  
• Collective oscillation with small amplitude in the Izhikevich neural network

  UMEHARA Hiroaki; TERAMAE Jun-nosuke; NARUSE Yasushi

  IEICE technical report. Neurocomputing, 17 Mar. 2014

  
• Proposal and evaluation of a active routing method based on attractor selection model with memory

  NAKAO Tomohiro; TERAMAE Jun-nosuke; WAKAMIYA Naoki

  IEICE technical report. Information networks, 06 Mar. 2014

  
• AT-3-2 Functional roles of noise in information communication on cortical networks

  寺前 順之介

  Proceedings of the IEICE General Conference, 04 Mar. 2014

  
• 27pAJ-2 Control of abnormal firing by inhibitory brain circuit in a cortical network model of spontaneous firing activity

  Kada Hisashi; Teramae Jun-nosuke; Tokuda Isao T.

  Meeting Abstracts of the Physical Society of Japan, 2014

  
• Across borders, and beyond

  寺前 順之介

  生産と技術, 2014

  
• 29aXR-6 Conductance measurements of Asynchronous irregular state in cortical networks

  Teramae Jun-nosuke; Fukai Tomoki

  Meeting Abstracts of the Physical Society of Japan, 2013

  
• 29aXR-12 Transition from desynchronoas to synchronous neural dynamics in cortical network model of spontaneous firing activity

  Kada Hisashi; Iwamoto Takahiro; Teramae Jun-nosuke; Tokuda Isao

  Meeting Abstracts of the Physical Society of Japan, 2013

  
• Transition from desynchronous to synchronous neural dynamics in cortical network model of spontaneous firing activity

  Kada Hisashi; Iwamoto Takahiro; Teramae Jun-nosuke; Tokuda Isao

  IEICE technical report. Nonlinear problems, 17 Dec. 2012

  
• 2012年度時限研究会「次世代情報処理における揺らぎと確率」研究会 実施報告

  坪 泰宏; 寺前 順之介

  日本神経回路学会誌 = The Brain & neural networks, 05 Sep. 2012

  
• 対数正規型シナプス重み分布を持つ連想記憶モデル

  平谷 直輝; 寺前 順之介; 深井 朋樹

  電子情報通信学会技術研究報告. NC, ニューロコンピューティング, 07 Mar. 2012

  
• Oscillatory component of spontaneous activity sustained in log-normally connected network

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report. Neurocomputing, 07 Mar. 2012

  
• 24aAG-3 Bidirectional coupling of strong EPSP and abnormal firing in a neural network model of spontaneous brain activity

  Iwamoto Takahiro; Teramae Jun-nosuke; Tokuda Isao

  Meeting Abstracts of the Physical Society of Japan, 2012

  
• 24aAG-4 Duality of lognormal distributions observed in cortical spontaneous activity

  Teramae Jun-nosuke; Fukai Tomoki

  Meeting Abstracts of the Physical Society of Japan, 2012

  
• 25aAG-8 Associative Memory Model with Lognormal-like Synaptic Weight Distributions

  Hiratani N.; Teramae J.; Fukai T.

  Meeting Abstracts of the Physical Society of Japan, 2012

  
• Origin and computational roles of spontaneous noise in cortex

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report, 18 Jul. 2011

  
• 21aEA-6 Low-rate stable firing state in pulse coupled networks of cortical neurons

  Teramae Jun-nosuke

  Meeting Abstracts of the Physical Society of Japan, 2010

  
• 22pEA-2 Phase synchronization and the phase reduction for limit cycle oscillators driven by weak noise

  Teramae Jun-nosuke

  Meeting Abstracts of the Physical Society of Japan, 2010

  
• Trade-off between cell-to-cell synchronization and trial-to-trial reliability in recurrent networks of spiking neurons : Noise-induced synchronization between nonlinear systems

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report. Nonlinear problems, 06 Jul. 2009

  
• Trade-off between cell-to-cell synchronization and trial-to-trial reliability in recurrent networks of spiking neurons : Noise-induced synchronization between nonlinear systems

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report. Neurocomputing, 06 Jul. 2009

  
• Correlation between output spike trains of feed forward network receiving common input

  NISHIGAKI Yasuhiro; TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report, 04 Mar. 2009

  
• Reliability of spike timing in coupled networks of neurons: noise-induced synchronization of nonlinear oscillators

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report, 19 Jun. 2008

  
• Reliability of spike timing in coupled networks of neurons : noise-induced synchronization of nonlinear oscillators

  TERAMAE Jun-nosuke; FUKAI Tomoki

  IEICE technical report, 19 Jun. 2008

  
• Reliability of spike timing in recurrent networks of neurons

  Jun-nosuke Teramae; Yasuhiro Tsubo; Tomoki Fukai

  NEUROSCIENCE RESEARCH, 2008

  
• Synchronization of excitatory neurons with strongly heterogeneous phase response :

  Tsubo Yasuhiro; Teramae Jun-nosuke; Fukai Tomoki

  物性研究, 2007

  
• Noise Induced Phase Synchronization of a General Class of Limit Cycle Oscillators

  TERAMAE Jun-nosuke; TANAKA Dan

  Progress of Theoretical Physics, 20 Apr. 2006

  
• Neuroinformatic science summer school NISS. 2003 lecture report-The lecture report of Professor Tosihiko Aozaki. Local neural network of the corpus striatum neuron and its mechanism.

  下井 利修; 寺前 順之介; 野村 真樹

  The Brain & Neural Networks, 05 Dec. 2004

  
• 28aWB-12 Single-cell graded persistent activity modeled by Ca^<2+> store dynamics

  Teramae Jun-noauke; Fukai Tomoki

  Meeting Abstracts of the Physical Society of Japan, 2004

  
• System-Size Effects on the Collective Dynamics of Cell Populations with Global Coupling(Condensed Matter and Statistical Physics)

  Jun-nosuke TERAMAE; Department of Physics Graduate School of; Sciences Kyoto University

  Progress of theoretical physics = Progress of theoretical physics, 25 Jan. 2003

  
• System-Size Effects on the Collective Dynamics of Cell Populations with Global Couping

  TERAMAE Jun-nosuke

  Meeting Abstracts of the Physical Society of Japan, 2003

  
• Bursting as a Finite Size Effect in Globally Coupled Excitable Elements

  TERAMAE Jun-nosuke

  Meeting Abstracts of the Physical Society of Japan, 2002

  
• Excitable-Oscillatory Transition Depends on System Size

  TERAMAE Jun-nosuke

  Meeting Abstracts of the Physical Society of Japan, 2001

  
• 興奮系の、素子数に依存する転移現象(基研研究会「非平衡系の新局面-運動・機能・構造-」,研究会報告)

  寺前 順之介

  物性研究, 2001

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Presentations

• サンプリング型ニューラルネットワークによる自発的知覚交代の実現

  渡邉大師; 寺前順之介

  第33回日本神経回路学会, 04 Sep. 2023

  
• 嗅内皮質 graded-persistent-activity neuron ネットワークの動的平均場理論

  富田風太; 寺前順之介

  第33回日本神経回路学会, 04 Sep. 2023

  
• 脳型人工知能の先端数理 －揺らぎが生む生命の知能－

  寺前順之介

  シンポジウム：先端数理科学の目指すもの, 27 Mar. 2023, Invited

  
• 多義図形入力に対するサンプリング型ニューラルネットワークの時間応答

  渡邉大師; 寺前順之介

  日本物理学会2023年春季大会, 25 Mar. 2023

  
• 樹状突起活動電位によって非線形応答を示す低次元ニューロンモデルの提案

  佐伯卓哉; 寺前順之介

  日本物理学会2023年春季大会, 25 Mar. 2023

  
• Graded persistent activityを示すニューロンモデルによるリザバー計算の理論解析

  富田風太; 寺前順之介

  日本物理学会2023年春季大会, 22 Mar. 2023

  
• 情報論的解析に基づく大脳皮質のべき乗則コーディングの最適性

  立川剛至; 寺前順之介

  日本物理学会2023年春季大会, 22 Mar. 2023

  
• サンプリング型ニューラルネットワークにおけるシナプス変動とエネルギー地形

  後藤裕也; 寺前順之介

  日本物理学会2023年春季大会, 22 Mar. 2023

  
• Smoothed robustness analysis of classifiers

  Thomas Rodrigues Crespo; Jun-nosuke Teramae

  日本物理学会2023年春季大会, 22 Mar. 2023

  
• Stochastic neurons and synapses in the brain realize an efficient learning as a sampling

  Jun-nosuke Teramae

  京都大学応用数学セミナー, 15 Nov. 2022, Invited

  
• ニューラルネットワークの確率性と学習

  寺前順之介

  RIMS共同研究集会 「ランダム力学系・非自励力学系研究の展望：理論と応用」, 29 Sep. 2022

  
• 大脳皮質の確率性に基づく学習アルゴリズムと符号化特性

  寺前順之介

  iSeminar （異分野融合研究セミナー）, 25 Aug. 2022, Invited

  
• Dual stochasticity of neurons and synapses for sampling-based learning in the brain

  Jun-nosuke Teramae

  iTHEMS Biology Seminar, 14 Jul. 2022, Invited

  
• Graded persistent activity を示すニューロンモデルを用いたReservoir computing

  富田 風太; 寺前 順之介

  NEURO2022（第45回日本神経科学大会）, 02 Jul. 2022

  
• 文脈依存的恐怖条件付け学習におけるマウス海馬CA1細胞のカルシウムイメージング

  小林 曉吾; 髙島 魁斗; 寺前 順之介; 松尾 直毅

  NEURO2022（第45回日本神経科学大会）, 02 Jul. 2022

  
• 大脳皮質の確率性と学習アルゴリズムへの展開

  寺前順之介

  量子多体計算のフロンティア, 29 Mar. 2022, Invited

  
• Smoothed analysis robustness certification of Neural Networks

  Thomas Rodrigues-Crespo; Jun-nosuke Teramae

  日本物理学会 第77回年次大会, 16 Mar. 2022

  
• Graded persistent activityを示すニューロンモデルを用いたReservoir computing

  富田風太; 寺前順之介

  日本物理学会 第77回年次大会, 16 Mar. 2022

  
• 大脳皮質の自発活動とネットワーク特性

  寺前順之介

  第14回日本運動器疼痛学会, 20 Nov. 2021, Invited

  
• 自発揺らぎに基づく脳の計算学習原理

  寺前順之介

  第1回 ASHBi 数理ヒト生物学研究会 (MathHuB研究会), 29 Oct. 2021, Invited

  
• シナプスを確率変数とする制限付きボルツマンマシンの相転移

  山本昌治; 寺前順之介

  日本物理学会 2021年秋季大会, 22 Sep. 2021

  
• 変動閾値ニューロンモデルによるスパイキングニューラルネットワークの誤差逆伝播法

  山中宏太; 寺前順之介

  日本物理学会 2021年秋季大会, 22 Sep. 2021

  
• 結合振動子系において完全同期以外の安定平衡点を持つ密なネットワークの探索

  米田亮介; 立川剛至; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• ランダム時系列を利用する運動の教師あり学習

  岡田青空; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• べき乗則に従うニューラルネットワークの学習可能性と汎化性能

  立川剛至; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• 人工ニューラルネットワークにおけるべき則表現と学習則

  後藤裕也; 立川剛至; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• 膜電位のbackward modulationを利用するLIFニューロンの教師あり学習

  山中宏太; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• ニューロンとシナプスを確率変数とする制限付きボルツマンマシン

  山本昌治; 寺前順之介

  日本物理学会第76回年次大会, 15 Mar. 2021

  
• Dual stochasticity in the cortex as a biologically plausible learning with the most efficient coding

  Jun-nosuke Teramae

  The 43rd Annual Meeting of the Japan Neuroscience Society, 30 Jul. 2020, Invited

  
• Hippocampal CA;engram cells are characterized by activity;reduction in;a;novel context;during memory encoding

  Kaito Takashima; Jun-nosuke Teramae; Naoki Matsuo; Kyogo Kobayashi; Ren Takakura

  The 43rd Annual Meeting of the Japan Neuroscience Society, 29 Jul. 2020

  
• Calcium imaging of hippocampal CA1 engram cells during a contextual fear conditioning paradigm

  KYOGO KOBAYASHI; Ren Takakura; Jun-nosuke Teramae; Naoki Matsuo

  The 43rd Annual Meeting of the Japan Neuroscience Society, 29 Jul. 2020

  
• A biologically plausible and effective learning algorithm for spiking neural networks

  Kota Yamanaka; Jun-nosuke Teramae

  The 43rd Annual Meeting of the Japan Neuroscience Society, 29 Jul. 2020

  
• エングラムセルが表現するエピソード記憶のダイナミクス

  高蔵蓮; 小林曉吾; 松尾直毅; 寺前順之介

  日本物理学会第75回年次大会, 19 Mar. 2020

  
• 確率的教師あり学習モデルにおける短期シナプス可塑性

  南拓也; 寺前順之介

  日本物理学会第75回年次大会, 19 Mar. 2020

  
• 確率的教師あり学習における自発活動による破滅的忘却の抑制

  遠藤大輔; 寺前順之介

  日本物理学会第75回年次大会, 19 Mar. 2020

  
• 大脳皮質の二重の確率性に基づく生物学的に妥当な学習アルゴリズムと最適表現

  寺前順之介

  日本物理学会第75回年次大会, 19 Mar. 2020

  
• 大脳皮質の二重のゆらぎが可能にする柔軟かつ効率的な学習計算アルゴリズム

  寺前順之介

  「いきもの-AI共創工学」第１回 フォーラム, 24 Dec. 2019, Invited

  
• ニューロンとシナプスの二重の確率性による大脳皮質の学習計算原理

  寺前順之介

  生理研研究会「力学系の視点からの脳・神経回路の理解」, 28 Nov. 2019, Invited

  
• 脳と知能の物理学

  寺前順之介

  第64回物性若手夏の学校, 05 Aug. 2019, Invited

  
• Biologically plausible learning based on dual stochasticity of the brain

  Jun-nosuke Teramae

  Synchronization phenomena on complex networks, from math to experiments - Special workshop for AIMR Advanced Target Projects -, 29 Jul. 2019, Invited

  
• Biologically-plausible learning based on dual stochasticity of neurons and synapses

  Jun-nosuke Teramae

  Data analysis and machine learning in dynamical systems, 29 May 2019, Invited

  
• 脳の揺らぎ –自発性とネットワーク構造–

  寺前順之介

  第９回山田研究会「第２回 自然科学の数学的原理」, 19 Feb. 2019, Invited

  
• 大脳皮質の自発揺らぎと脳型情報処理

  寺前順之介

  JST, CREST「生命動態の理解と制御のための基盤技術の創出」研究領域第11回数理デザイン道場, 25 Jan. 2019, Invited

  
• A Supervised Learning Rule as a Stabilization Mechanism of Arbitral Fixed Points of Hidden Neurons

  Jun-nosuke Teramae

  The 28th Annual Conference of the Japanese Neural Network Society, 24 Oct. 2018, Japanese Neural Network Society, Invited

  
• Noise Robustness and Generalization of Bayesian Neural Networks with Lognormal Synaptic Weights

  Thom_s Rodrigues Crespo; Jun-nosuke Teramae; Naoki Wakamiya

  The 28th Annual Conference of the Japanese Neural Network Society, 24 Oct. 2018, Japanese Neural Network Society

  
• Validity of the Flat Minima Approach to Understand Generalization of Deep Learning

  Tsuyoshi Tatsukawa; Jun-nosuke Teramae; Naoki Wakamiya

  The 28th Annual Conference of the Japanese Neural Network Society, 24 Oct. 2018, Japanese Neural Network Society

  
• Reinforcement Learning for Visual Attention with Scalable Size of Attentional Field

  Yutaro Murata; Jun-nosuke Teramae; Naoki Wakamiya

  The 28th Annual Conference of the Japanese Neural Network Society, 24 Oct. 2018, Japanese Neural Network Society

  
• Biologically Plausible Learning Method with Minimizing Gap of Local Energy in Asymmetric Neural Network

  Futa Tomita; Jun-nosuke Teramae; Naoki Wakamiya

  The 28th Annual Conference of the Japanese Neural Network Society, 24 Oct. 2018, Japanese Neural Network Society

  
• 大脳皮質の自発揺らぎとネットワーク構造

  寺前順之介

  京都大学ウイルス・再生医科学研究所第4回生命情報研究会, 03 Jul. 2018, Invited

  
• ニューラルネットワークの固定点化に基づく局所的学習アルゴリズム

  寺前順之介

  RIMS共同研究「力学系 -理論と応用の融合-」, 08 Jun. 2018, Invited

  
• 大脳皮質の局所ネットワーク構造とダイナミクス

  寺前順之介

  第52回京都大学応用数学セミナー（KUAMS）, 29 May 2018, Invited

  
• 大脳皮質のネットワーク構造と機械学習

  寺前順之介

  電子情報通信学会総合大会企画セッション「複雑コミュニケーションサイエンスとネットワーク科学 最新動向と今後の課題」, 22 Mar. 2018, Invited

  
• 神経ネットワーク構造と自発揺らぎ

  寺前順之介

  細胞内ネットワークのダイナミクス～生物学と数理科学の協働～, 01 Feb. 2018, Invited

  
• ゆらぎを活かす大脳皮質の情報伝達とネットワーク特性

  寺前順之介

  CiNet脳情報研究ワークショップ, 24 Jan. 2018, Invited

  
• 安定化としての脳型学習アルゴリズム

  寺前順之介

  Perspectives of Nonlinear Phenomena in Random and Non-autonomous Dynamics, 29 Sep. 2017, Invited

  

Industrial Property Rights

• 特許第7356738号, JP2020011577, ニューラルネットワークの学習方法、ニューラルネットワークの生成方法、学習済装置、携帯端末装置、学習処理装置及びコンピュータプログラム

  寺前 順之介

  
• 特願2019-064222, ニューラルネットワークの学習方法、ニューラルネットワークの生成方法、学習済装置、携帯端末装置、学習処理装置及びコンピュータプログラム

  寺前順之介

  

Awards

• Sep. 2004

  Japanese Neural Network Society, Research Award, Japanese Neural Network Society
• Sep. 2006

  Japanese neural network society, Young Scientist Award
• 04 Mar. 2010

  The Physical Society of Japan, Young Scientist Award
• 24 Nov. 2010

  Asia Pacific Neural Network Assembly, Young Investigator Award
• 11 Jun. 2011

  The 3rd International Conference on Cognitive Neurodynamics, Best Paper Award
• 23 Aug. 2011

  Comprehensive Brain Science Network, Best Poster Award for Young Scientist
• 12 Sep. 2018

  IEICE, NOLTA Society, Service Award

External funds: Kakenhi

• Neural basis of memory acquisition and retrieval

  Grant-in-Aid for Scientific Research (B)

  Basic Section 46030:Function of nervous system-related

  Kyushu University

  松尾 直毅

  From 01 Apr. 2021, To 31 Mar. 2025, Granted

  記憶;マウス;神経回路

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H02597/
• Efficient algorithm for sequential learning utilizing spontaneous internal activity

  Grant-in-Aid for Scientific Research (C)

  Basic Section 61040:Soft computing-related

  Kyoto University

  Junnosuke Teramae

  From 01 Apr. 2020, To 31 Mar. 2023, Project Closed

  脳;学習;確率;海馬;記憶;ゆらぎ;ノイズ;ニューラルネットワーク;シナプス;サンプリング;符号化;ギブスサンプリング;揺らぎ;自発活動;時系列;機械学習

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K11987/
• Molecular and activity characterization of memory engram cells

  Grant-in-Aid for Scientific Research (B)

  Basic Section 46030:Function of nervous system-related

  Kyushu University;Osaka University

  Naoki Matsuo

  From 01 Apr. 2018, To 31 Mar. 2021, Project Closed

  記憶;マウス

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18H02543/
• Efficient learning algorithm utilizing internal fluctuation of the brain

  Grant-in-Aid for Scientific Research (C)

  Kyoto University;Osaka University

  Jun-nosuke Teramae

  From 01 Apr. 2017, To 31 Mar. 2020, Project Closed

  脳;自発活動;海馬;機械学習;人工知能;確率;シナプス可塑性;確率的情報処理;場所細胞;記憶痕跡細胞;学習;記憶;局所回路;シナプス結合;ゆらぎ

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17K00338/
• Research on brain-inspired algorithms for wireless sensor networks

  Grant-in-Aid for Scientific Research (A)

  Osaka University

  Naoki WAKAMIYA

  From 01 Apr. 2016, To 31 Mar. 2021, Project Closed

  無線センサネットワーク;情報通信工学;ネットワーク;情報工学;脳・神経

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16H01719/
• cortical local circuit with network motifs and cluster structure

  Grant-in-Aid for Scientific Research (C)

  Osaka University

  Jun-nosuke Teramae

  From 01 Apr. 2013, To 31 Mar. 2016, Project Closed

  大脳皮質;ゆらぎ;ノイズ;確率;ネットワークモチーフ;スモールワールド;脳;抑制性神経細胞;複雑ネットワーク;クラスター;同期;受容野;局所回路;確率的推定;神経;不均一性;抑制;フィードバック;ネットワーク;クラスタ構造

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25430028/
• 確率脳内シミュレータとしての大脳皮質自発発火活動と学習の解明

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Complex systems

  Osaka University

  寺前 順之介

  From 01 Apr. 2012, To 31 Mar. 2014, Project Closed

  脳;大脳皮質;自発活動;揺らぎ;ノイズ;対数正規分布;確率的情報処理;不均一性;神経;ゆらぎ;確率;情報処理;連想記憶;ネットワーク;確率共鳴

  https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-24120524/
• Neural data analysis and local neural circuit modeling

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Biological Sciences

  The Institute of Physical and Chemical Research

  Tomoki FUKAI

  From 01 Apr. 2010, To 31 Mar. 2015, Project Closed

  変分ベイズ法;積分発火モデル;対数正規型神経回路;STDP;興奮抑制バランス;ブラインド信号源分離;スパイク相関;脳・神経;情報工学;ハイパフォーマンスコンピューティング;アルゴリズム;モデル化;神経回路モデル;連想記憶;スパイク発火;大規模シミュレーション;多電極記録;ネットワーク構造;情報理論;確率的挙動;スパイクソーティング;変分ベイズ;大脳皮質局所回路;スパイク時間依存のシナプス可塑性;入力相関検出;視覚的注意;海馬神経回路;多細胞スパイクデータ解析;対数正規シナプス強度分布;非線形カーネル法;スパイク時系列

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-22115013/
• Detailed estimation of local circuit structure based on spike time reliability of cortical neurons

  Grant-in-Aid for Young Scientists (B)

  The Institute of Physical and Chemical Research

  Junnosuke TERAMAE

  From 01 Apr. 2008, To 31 Mar. 2011, Project Closed

  リミットサイクル;確率過程;ノイズ;スパイク;発火率;対数正規分布;ネットワーク;理論神経科学;計算論的神経科学;大脳皮質;揺らぎ;非線形振動子;確率微分方程式;情報表現;同期;位相;temoral coding

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20700304/
• 臨界発火時系列を利用した大脳皮質-皮質間局所回路網の理論的解明

  Grant-in-Aid for Young Scientists (B)

  The Institute of Physical and Chemical Research

  寺前 順之介

  From 01 Apr. 2005, To 31 Mar. 2008, Project Closed

  大脳皮質;確率過程;べき乗則;synfire chain;位相応答;同期発火;不均一性;ネットワーク;局所回路;連想記憶;同期;neuronal avalanche;べき乗法則;自発発火;発達

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17700318/
• Emergent functions of networks of neurons with complex information processing abilities

  Grant-in-Aid for Scientific Research (B)

  RIKEN;Tamagawa University

  Tomoki FUKAI

  From 01 Apr. 2004, To 31 Mar. 2006, Project Closed

  脳・神経;認知科学;生物・生体工学;ソフトコンピューティング;数理工学;統計物理学;生物・生体情報;計算機シミュレーション;ソフト・コンピューティング;生物生体工学, Brain, Neural network systems;Cognitive model;Biological information processing;Soft computing;Mathematical engineering;Statistical physics

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16300096/
• 不規則感覚同調運動における動的確率情報処理の脳内実装様式の解明

  Grant-in-Aid for Scientific Research (C)

  Basic Section 61040:Soft computing-related

  Ritsumeikan University

  坪 泰宏

  From 01 Apr. 2022, To 31 Mar. 2025, Granted

  確率型情報処理;脳神経科学;バイアス;局所回路

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K12186/
• 推論と学習を統合的に同時実行する「シームレスニューラルネットワーク」の実現

  Grant-in-Aid for Scientific Research (C)

  Basic Section 61040:Soft computing-related

  Kyoto University

  寺前 順之介

  From 01 Apr. 2024, To 31 Mar. 2028, Granted

  シナプス;確率;ベイズ;サンプリング;脳

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K15104/
• Neural basis of memory acquisition and retrieval

  Grant-in-Aid for Scientific Research (B)

  Basic Section 46030:Function of nervous system-related

  Kyushu University

  松尾 直毅

  From 01 Apr. 2021, To 31 Mar. 2025, Granted

  記憶;回路;記憶想起;マウス;神経回路

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K21352/

Education

Teaching subject(s)

• From 01 Apr. 2025, To 31 Mar. 2026

  Integrated Liberal Arts and Science with Small Group Seminar s

  Y103, Spring, Institute for Liberal Arts and Sciences, 4
• From 01 Apr. 2025, To 31 Mar. 2026

  Seminar in Nonlinear Physics II

  4312, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2025, To 31 Mar. 2026

  Seminar in Nonlinear Physics I

  4311, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2024, To 31 Mar. 2025

  Introduction to Applied Mathematics and Physics

  9114, Spring, Faculty of Engineering, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Nonlinear Physics B

  4304, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Topics in Nonlinear Dynamics B

  3321, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Seminar in Nonlinear Physics I

  4311, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2024, To 31 Mar. 2025

  Seminar in Nonlinear Physics II

  4312, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2023, To 31 Mar. 2024

  Introduction to Applied Mathematics and Physics

  9114, Spring, Faculty of Engineering, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Nonlinear Physics A

  4303, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Advanced Dynamics

  N229, Fall, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Seminar in Nonlinear Physics II

  4312, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2023, To 31 Mar. 2024

  Seminar in Nonlinear Physics I

  4311, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2022, To 31 Mar. 2023

  Topics in Nonlinear Dynamics B

  3321, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Fundamental Physics A

  N225, Spring, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Introduction to Applied Mathematics and Physics

  9114, Spring, Faculty of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Nonlinear Physics B

  4304, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Nonlinear Physics A

  4303, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar in Nonlinear Physics I

  4311, Year-long, Graduate School of Informatics, 4
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar in Nonlinear Physics II

  4312, Year-long, Graduate School of Informatics, 4
• From Apr. 2019, To Mar. 2020

  ILAS Seminar

  Spring, 全学共通科目
• From Apr. 2019, To Mar. 2020

  Advanced Dynamics

  Fall, 全学共通科目
• From Apr. 2019, To Mar. 2020

  Seminar in Nonlinear Physics II

  Year-long, 情報学研究科
• From Apr. 2019, To Mar. 2020

  Nonlinear Physics A

  Spring, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Fundamental Physics A

  Spring, 全学共通科目
• From Apr. 2020, To Mar. 2021

  Topics in Nonlinear Dynamics B

  Fall, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Seminar in Nonlinear Physics II

  Year-long, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Seminar in Nonlinear Physics I

  Year-long, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Nonlinear Physics B

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2021, To Mar. 2022

  Seminar in Nonlinear Physics II

  Year-long, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar in Nonlinear Physics I

  Year-long, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Nonlinear Physics A

  Spring, 情報学研究科

Participation in PhD Defense

• Trustworthy machine learning: bridging adversarial and noise robustness of classifiers via smoothed analysis

  THOM■S RODRIGUES CRESPO, Graduate School of Informatics, Chief Examiner

  24 Sep. 2024
• Back propagation control of　model-based multi-layer adaptive filters for optical communication systems

  ARIKAWA MANABU, Graduate School of Informatics, Sub-chief Examiner

  25 Sep. 2023
• Study on method for estimating phase coupling functions from time-series data and its application to human gait motion data

  ARAI TAKAHIRO, Graduate School of Informatics, Sub-chief Examiner

  23 Mar. 2023
• Theoretical and Experimental Research on Coupled Phase-Oscillator Models

  YONEDA RYOSUKE, Graduate School of Informatics, Sub-chief Examiner

  23 Mar. 2023

Part-time lecturer

• From 13 Jun. 2022, To 06 Dec. 2022

  統合生物化学特論Ⅱ

  国立大学法人九州大学, 大学院システム生命科学夫

Administration

Faculty management (title, position)

• From 01 Apr. 2023, To 31 Mar. 2025

  計算機小委員会委員
• From 01 Apr. 2023, To 31 Mar. 2025

  情報セキュリティ作業委員会委員
• From 01 Apr. 2022, To 31 Mar. 2023

  情報セキュリティ委員会技術責任者
• From 01 Apr. 2019, To 31 Mar. 2020

  情報セキュリティ作業委員会委員
• From 01 Apr. 2019, To 31 Mar. 2020

  計算機小委員会委員
• From 01 Apr. 2020, To 31 Mar. 2023

  情報セキュリティ作業委員会委員
• From 01 Apr. 2020, To 31 Mar. 2023

  計算機小委員会委員
• From 01 Apr. 2021, To 31 Mar. 2022

  情報セキュリティ委員会副技術責任者