論文・書籍
- Tadashi Yamazaki, Jun Igarashi, Hiroshi Yamaura. Human-scale brain simulation via supercomputer: a case study on the cerebellum. Neuroscience, 462:235-246, 2021.
- Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Simulation of a Human-Scale Cerebellar Network Model on the K Computer. Frontiers in Neuroinformatics, 14, 16. https://doi.org/10.3389/fninf.2020.00016, 2020.
- Benoît Girard, Jean Lienard, Carlos Enrique Gutierrez, Bruno Delord, Kenji Doya. A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. European Journal of Neuroscience, https://doi.org/10.1111/ejn.14869, 2020.
- Jan Morén, Jun Igarashi, Osamu Shouno, Junichiro Yoshimoto, Kenji Doya. Dynamics of basal ganglia and thalamus in parkinsonian tremor. Cutsuridis V, Multiscale Models of Brain Disorders, Spriinger pp13-20. https://doi.org/978-3-030-18830-6_2, 2019.
- Jun Igarashi, Hiroshi Yamaura, Tadashi Yamazaki. Large-scale simulation of a layered cortical sheet of spiking network model using a tile partitioning method. Frontiers in Neuroinformatics, Accepted (2019/11/12).
- Skibbe Henrik, Reisert Marco, Nakae Ken, Watakabe Akiya, Hata Junichi, Mizukami Hiroaki, Okano Hideyuki, Yamamori Tetsuo, Ishii Shin. PAT: Probabilistic axon tracking for densely labeled neu-rons in large 3D micrographs. IEEE Transactions on Medical Imaging, 38(1):69-78, 2019.
- Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Ex-tremely Scalable Spiking NeuronalNetwork Simulation Code: From Laptops to Exascale, Frontiers in Neuroinformatics, 10.3389/fninf.2018.00002.
- 山浦 洋, 山﨑 匡. 小脳モデル. 人工知能AI辞典 第3版. 近代科学社, 2019.
- 山浦 洋, 山﨑 匡. 小脳神経回路をコンピュータ上に作る. Clinical Neuroscience 37(8):973-975, 2019.
- 高橋 恒一, 渡部 匡己. 「現代科学を超えて―AI駆動型科学へ」 実験医学別冊 「あなたのラボにAI(人工知能)×ロボットがやってくる」, Eds. 夏目 徹 (羊土社), 2017.
- 山川 宏(インタビュイー). 強いAI・弱いAI 研究者に聞く人工知能の実像「全脳アーキテクチャ― 汎用人工知能の実現」pp157-189. 丸善出版, 2017.
- 高橋 恒一. 将来の機械知性に関するシナリオと分岐点, 人工知能学会誌 33(6):867-872, 2018.
- 高橋 恒一, 草刈 ミカ, 中ザワ ヒデキ. 特集「AIと美学・芸術」にあたって, 人工知能学会誌 33(6):698-780, 2018.
- 上野 聡, 高橋 恒一, 中田 秀基. 特集「AI 計算資源」にあたって, 人工知能学会誌 33(1):5-45, 2018.
- Osamu Shouno, Yoshihisa Tachibana, Atsushi Nambu, Kenji Doya. Computational model of recurrent subthalamo-pallidal circuit for generation of parkinsonian oscillations, Frontiers in Neuroanatomy, 11, 21, https://doi.org/10.3389/fnana.2017.00021, 2017.
- 山﨑 匡, 五十嵐 潤. 高性能神経計算による神経回路モデルのリアルタイムシミュレーション. 日本神経回路学会誌 24(4): 172–181, 2017.
受賞
- Jun Igarashi, Tadashi Yamazaki, Hiroshi Yamaura. OCNS*2019 Trainee Poster Competition Award, CNS2019, July 13-17, 2019.
- Fu, X. Poster Award Engineering Prize, RIKEN Summer School 2019, Octber 7-8, 2019.
- Shi L . Poster Award Engineering Prize, RIKEN Summer School 2019, Octber 7-8, 2019.
- 銅谷賢治. 日本神経回路学会 学術賞, 2019年.
- Kenji Doya. Donald O. Hebb Award, International Neural Network Society, 2018.
シンポジウム開催等
- 脳と心のメカニズム第19回冬のワークショップ(後援), 2019年1月9日-11日, 北海道留寿都村.
- 日本神経回路学会第28回全国大会JNNS2018(後援), 2018年10月24日-27日, OIST, 沖縄県国頭郡恩納村.
- 第41回日本神経科学大会シンポジウム, 「スパコンは神経科学を加速するか:エクサフロップス時代に向けて」, 2018年7月26日-29日, 神戸コンベンションセンター, 兵庫県神戸市.
広報・アウトリーチ
- Tadashi Yamazaki, Jun Igarashi. Introduction to high-performance neurocomputing. Tutorial T-7, Computational Neuroscience (CNS*2019) Barcelona, July 13-17, 2019, Barcelona, Spain.
- 五十嵐 潤. 「ヒト脳理解に向けてのスタートライン〜ポスト「京」で目指す全脳規模シミュレーション」. 計算科学の世界 第17号, 2018.
- 山﨑 匡. 「研究室へようこそ!」. 計算科学の世界 第17号, 2018.
- 五十嵐 潤. 全脳シミュレーションについて, N予備校, 脳神経科学と汎用人工知能, ドワンゴ ニコニコAIスクール, ビデオ講義収録 (http://nico2.ai/neuro-ai/), 2018年8月.
- 五十嵐 潤, 山﨑 匡 ランチョン大討論会「脳科学は次の10~20年に何をどう目指すべきか?」第41回日本神経科学学会全国大会, 2018年7月29日, 神戸.
- 山﨑 匡. スパコンで脳を再現する. 脳科学ライフサポート研究センタースプリングスクール, 2018年3月28-29日, 電通大.
- 五十嵐 潤.ヒトの脳全体シミュレーションを可能にするアルゴリズム -脳シミュレーションの大幅な省メモリ化と高速化を実現-. https://www.riken.jp/press/2018/20180326_1/, 2018年3月26日
- Tadashi Yamazaki. Tutorial: Introduction of high-performance computing for neuroinformatics. Advances in Neuroinformatics 2017 (AINI2017), November 20-21, 2017, RIKEN, Wako.
主要国際会議発表
Computational Neuroscience (CNS*2019) July 13-17 2019, Barcelona, Spain
- Igarashi J, Yamazaki T, Yamaura H. Parallel computing of a cortico-thalamo-cerebellar circuit using tile partitioning parallelization method by MONET simulator.
- Gutierrez CE, et al. A whole-brain spiking neural network model linking basal ganglia, cerebellum, cortex and thalamus.
- Morteza H, Sun Z, Igarashi J. Hierarchy of inhibitory circuit acts as a switch key for network function in a model of the primary motor cortex.
- Sun Z, Morteza H, Igarashi J. Spatially organized connectivity for signal processing in a model of the rodent primary somatosensory cortex.
- Yamaura H, Igarashi J, Yamazaki T. Building a spiking network model of the cerebellum on K computer using NEST and MONET simulators
The 48th Annual Meeting of Society for Neuroscience (Neuroscience 2018), November 3-7 2018, San Diego, USA
- Igarashi J, Yamazaki T, Yamaura H. Parallel computing of a spiking neural network model of layered cortical sheet consisting of multiple regions with long-range connections.
- Lienard J, Girard B, Doya K. Examination of the roles of basal ganglia afferents in action selection and learning by spiking neuron models.
- Watakabe A, et al., Prefrontal projection mapping of the common marmoset.
- Yamazaki T, Yamaura H, Igarashi J. Implementation and simulationof a cerebellar model on a tile-based general spiking neural networksimulator for K supercomputer.
その他
- Tadashi Yamazaki, Tomoya Hirayama, Taiki Yamada, Rin Kuriyama, Jun Igarashi. Distributed brain-body closed-loop simulation using Supercomputer Fugaku. JNSS2021, July 28-31, 2021, Kobe (Hybrid).
- Carlos Enrique Gutierrez, Zhe Sun, Hiroshi Yamaura, Heidarinejad Morteza, Jun Igarashi, Tadashi Yamazaki, Kenji Doya. Simulation of resting-state neural activity in a loop circuit of the cerebral cortex, basal ganglia, cerebellum, and thalamus using NEST simulator. JNNS2020.
- Gutierrez C. Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer. NEST conference 2019, Norway.
- Jun Igarashi. Parallelization method of cortico-thalamo-cerebellar circuits toward exascale computing. Neuromodulator of neural microcircutis NM2, 2019, Champery, Switzerland.
- Jun Igarashi, Hiroshi Yamaura, Tadashi Yamazaki. Introduction of large-scale neural network simulations in the project for a next-generation supercomputer in Japan. 4th EU-Japan workshop on Neurorobotics, 2019, Tokyo.
- Kotone Itaya, Hiroshi Yamakawa, Masaru Tomita, Koichi Takahashi.BriCA Kernel: Cognitive Computing Platform for Large-scale Distri-buted Memory Environments. JNNS2018, October 26, 2018, OIST, Okinawa
- Yamakawa H, Arakawa N, Takahashi K. Reinterpreting the cortical circuit. Architectures for Generality & Autonomy Workshop, August 15-20 2017, Melbourne, Australia.
- Sei Ueno, Masahiko Osawa, Michita Imai, Tsuneo Kato, Hiroshi Yamakawa. Re:ROS”: Prototyping of Reinforcement Learning Environ-ment for Asynchronous Cognitive Architecture. 2017 Annual Intern-ational Conference on Biologically Inspired Cognitive Architectures: Eighth Annual Meeting of the BICA Society (BICA 2017), Moscow, Russia.
- Jun Igarashi. Parallelization of a spiking neural network model of layered cortical sheet consisting of multiple cortical regions. NOLTA2017, December 2017, Cancún, Mexico.
- Itaya K, Takahashi K, Nakamura M, Koizumi M, Arakawa N, Tomita M, Yamakawa H. BriCA: A modular software platform for whole brain architecture. Neural information processing – 23rd international conference (ICONIP2016), October 16-21 2016, Kyoto.