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Teramae, Junnosuke

Graduate School of Informatics, Department of Advanced Mathematical Sciences Associate Professor

Teramae, Junnosuke
list
    Last Updated :2022/05/14

    Basic Information

    Faculty

    • 工学部

    Professional Memberships

    • The 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

    researchmap URL

    list
      Last Updated :2022/05/14

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

      Papers

      • 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
      • Biologically Plausible Learning Method with Minimizing Gap of Local Energy in Asymmetric Neural Network
        Futa Tomita; Jun-nosuke Teramae; Naoki Wakamiya
        Proceedings of Annual Conference of the Japanese Neural Network Society, Oct. 2018, Peer-reviewed
      • Validity of the Flat Minima Approach to Understand Generalization of Deep Learning
        Tsuyoshi Tatsukawa; Jun-nosuke Teramae; Naoki Wakamiya
        Proceedings of Annual Conference of the Japanese Neural Network Society, Oct. 2018, Peer-reviewed
      • Noise Robustness and Generalization of Bayesian Neural Networks with Lognormal Synaptic Weight
        Thomas Rodrigues Crespo; Jun-nosuke Teramae; Naoki Wakamiya
        Proceedings of Annual Conference of the Japanese Neural Network Society, Oct. 2018, Peer-reviewed
      • Computational Neuroscience: Mathematical and Statistical Perspectives
        Robert E. Kass; Shun-Ichi Amari; Kensuke Arai; Emery N. Brown; Casey O. Diekman; Markus Diesmann; Brent Doiron; Uri T. Eden; Adrienne L. Fairhall; Grant M. Fiddyment; Tomoki Fukai; Sonja Grün; Matthew T. Harrison; Moritz Helias; Hiroyuki Nakahara; Jun-nosuke Teramae; Peter J. Thomas; Mark Reimers; Jordan Rodu; Horacio G. Rotstein; Eric Shea-Brown; Hideaki Shimazaki; Shigeru Shinomoto; Byron M. Yu; Mark A. Kramer
        Annual Review of Statistics and Its Application, 07 Mar. 2018, Peer-reviewed
      • 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
      • Layer specificity of acquired memory duration in multilayer LSTM networks
        Kazuki Hatanaka; Jun-nosuke Teramae; Naoki Wakamiya
        Proceedings of the 2017 International Symposium on Nonlinear Theory and Its Applications (Nolta 2017), Dec. 2017, 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

      Misc.

      • 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
      • 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

      Presentations

      • 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
        ynchronization 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

      • 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
      • Efficient algorithm for sequential learning utilizing spontaneous internal activity
        Grant-in-Aid for Scientific Research (C)
        Basic Section 61040:Soft computing-related
        Kyoto University
        寺前 順之介
        From 01 Apr. 2020, To 31 Mar. 2023, Granted
        脳;学習;海馬;記憶;シナプス;確率;揺らぎ;自発活動;時系列;機械学習
      • 記憶痕跡細胞集団の分子・活動特性の解明
        Grant-in-Aid for Scientific Research (B)
        Basic Section 46030:Function of nervous system-related
        Kyushu University;Osaka University
        松尾 直毅
        From 01 Apr. 2018, To 31 Mar. 2021, Granted
        マウス;記憶
      • 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
      • 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
      • 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
      • 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
      • 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
      • 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
        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
      • 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
        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
      • Emergent functions of networks of neurons with complex information processing abilities
        Grant-in-Aid for Scientific Research (B)
        RIKEN;Tamagawa University
        Tomoki FUKAI
        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
      list
        Last Updated :2022/05/14

        Education

        Teaching subject(s)

        • 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
        list
          Last Updated :2022/05/14

          Administration

          Faculty management (title, position)

          • 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 Jan. 2022
            情報セキュリティ作業委員会委員
          • From 01 Apr. 2020, To 31 Mar. 2022
            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

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