Publications

(Please consult the faculty database for publications earlier than 2012)

Award

Tadashi Yamazaki, Jun Igarashi. Best Paper Award, Japanese Neural Network Society, Aug 28, 2014.
Toshiki Kusano, Hiroki Kurashige, and 5 more persons. Research Award, Japanese Neural Network Society. Oct 19, 2016.
Taira Kobayashi, Tadashi Yamazaki. Domestic Travel Award, 43rd Annual Meeting of Japan Neuroscience Society, July 29, 2020.
Rin kuriyama, Hideyuki Yoshimura, Tadashi Yamazaki. Conference Encouragement Award. The 33rd Annual Meeting of the Japanese Neural Network Society(JNNS2023), September 6, 2023.

Media coverage

  1. NVIDIA Blog: Better Batting with CUDA: How GPU-based Brain Research Helped Japanese Robot Swing for the Fences. Apr 26, 2013.
  2. WIRED Enterprise: Scientists Build Baseball-Playing Robot With 100,000-Neuron Fake Brain. Apr 27. 2013.
  3. insideHPC: GPU-based Brain Research Hits it Out of the Park. Apr 27, 2013.
  4. CNN: Scientists build baseball-playing robot with 100,000-neuron fake brain. Apr 29, 2013.
  5. Bio IT World: Swing Batter, Batter: GPUs and Baseball. Apr 29, 2013.
  6. WIRED Japanese Edition: GPU-Controlled Artificial Cerebellum: Baseball Robot by UEC and OIST (Japanese article). Apr 30, 2013.
  7. UEC e-Bulletin vol.4, 2014: Artificial intelligence: Brain-training for baseball robot. Dec 24, 2014.
  8. UEC: [Media Release] Practice makes perfect: a theoretical model of memory consolidation in the cerebellum. Mar 3, 2015.
  9. My Navi News: (In Japanese). Mar 4, 2015.
  10. UEC e-Bulletin vol.5, 2015: Motor memory: the long and short of it. Mar 25, 2015.
  11. MedicalXpress: Research explains the formation of long-term motor memory. Mar 26, 2015.
  12. The Japan Neuroscience Society: [Neuroscience Topics] Practice makes perfect: a theoretical model for memory consolidation in the cerebellum. Apr 24, 2015.
  13. UEC eBulletin vol.8, 2015: Neuroscience: Creating realistic computational models of the cerebellum. Dec 25, 2015.
  14. Nikkei technology online: Reproducing a cat cerebellum on a supercomputer (In Japanese). June 13, 2016.
  15. My Navi News: A cat cerebellum on supercomputer Shoubu (In Japanese). June 20, 2016.
  16. UEC: Report: Can a Next-generation Supercomputer Reveal How the Brain Works? July 6, 2016.
  17. My Navi News: Simulating the cerebellum with 8 billion neurons in realtime (In Japanese). March 19, 2018.
  18. RIKEN Center for Computational Science News Letter No.17 “Welcome to our lab! ” (Japanese). October 19, 2018.
  19. SOBIM Bulletin: UEC Yamazaki Lab. — Building the brain on a supercomputer —, 2021 Vol.45 No.3, August 1, 2021.

Textbook

Tadashi Yamazaki, Jun Igarashi. Introduction to Spiking Network Simulation (Japanese book). Morikita Publishing, December 17, 2021.

2023

  1. Kaaya Tamura, Yuki Yamamoto, Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki. Discrimination and learning of temporal input sequences in a cerebellar Purkinje cell model. Frontiers in Cellular Neuroscience, 17,1075005, 2023.
  2. Tadashi Yamazaki. Modeling and simulation methods for behavioral studies. The CELL, Vol.55(8), pp.24-27, New Science Co., Ltd., 2023.
  3. Yusuke Kuniyoshi, Rin Kuriyama, Shu Omura, Carlos Enrique Gutierrez, Zhe Sun, Benedikt Feldotto, Ugo Albanese, Alois C. Knoll, Taiki Yamada, Tomoya Hirayama, Fabrice O. Morin, Jun Igarashi, Kenji Doya, Tadashi Yamazaki. Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. Frontiers in Neurorobotics, 17, 1269848, 2023.
  4. Tadashi Yamazaki. Distributed computer simulation of a spike-based brain model and a mouse musculoskeletal body model. 3rd International Symposium on Brain Information Dynamics 2023, January 23-24, 2023, Tokyo International Forum.
  5. Tadashi Yamazaki. From brain simulation to brain digital twin. RIKEN Center for Computational Science R-CCS Cafe Special Edition, January 31, 2023.
  6. Yusuke kuniyoshi, Rin Kuriyama, Shu Omura, Tadashi Yamazaki. Development of a closed-loop simulation system distributed on the supercomputer Fugaku. The 46th Annual Meeting of the Japan Neuroscience Society, August 1-4, 2023, SENDAI International center.
  7. Tomohiro Mitsuhashi, Koji Ikezoe, Kazuo Kitamura,Tadashi Yamazaki. Computer simulation of shaping simple spike activity by complex spikes obtained from calcium imaging data in cerebellar motor learning. The 46th Annual Meeting of the Japan Neuroscience Society, August 1-4, 2023, SENDAI International center.
  8. Jun Igarashi, Tadashi Yamazaki. Gamma oscillations in a connectome-based spiking neural network model of the mouse cortico-cerebellar circuit. The 33rd Annual Meeting of the Japanese Neural Network Society (JNNS2023), September 4-6, 2023, Tokyo.
  9. Rin kuriyama, Hideyuki Yoshimura, Tadashi Yamazaki. A cerebellar spiking network model as a reinforcement learning machine. The 33rd Annual Meeting of the Japanese Neural Network Society (JNNS2023), September 4-6, 2023, Tokyo.
  10. Tomohiro Mitsuhashi, Koji Ikezoe, Kazuo Kitamura, Tadashi Yamazaki. Learning to shape simple spike trains by experimentally obtained complex spike data in a cerebellar spiking network model. The 33rd Annual Meeting of the Japanese Neural Network Society (JNNS2023), September 4-6, 2023, Tokyo.

2022

  1. Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin. Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. Frontiers in Neuroinformatics, 16, 884180, 2022.
  2. Tadashi Yamazaki. Fugaku-FORWARD2022 (invited, in Japanese), March 10, 2022, Online.
  3. Tadashi Yamazaki. Building the brain on a supercomputer Fugaku (invited, in Japanese). Program for Promoting Research on the Supercomputer Fugaku Symposium “Fugaku 100Kei”, March 29, 2022, Online.
  4. Tadashi Yamazaki. How does simulation neuroscience help us to understand the brain? (invited, in Japanese). 5th Supercomputer Colloquium, May 12, 2022, Online.
  5. Tadashi Yamazaki. Simulation neuroscience: a new kind of neuroscience? (invited, in Japanese). NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  6. Rin Kuriyama, Hideyuki Yoshimura, Ryohei Hoashi, Tadashi Yamazaki. Implementation of a cerebellar spiking neural network as a reinforcement learning module. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  7. Kaaya Tamura, Yuki Yamamoto, Taira Kobayashi, Tadashi Yamazaki. Learning sequences of parallel fiber stimulation by a cerebellar Purkinje cell model with dendrites. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  8. Jun Igarashi, Tadashi Yamazaki, Hiroshi Yamaura, Kentaro Nomura. Acceleration of spiking neural network simulation by temporal blocking methods and parallel input summation using spatial connectivity patterns. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  9. Hireyuki Yoshimura, Kenji Doya, Tadashi Yamazaki. A representation of TD error for reinforcement learning by spiking neural networks. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  10. Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki, Functional effects of synchronized activity of Purkinje cells to neurons in the deep cerebellar nuclei using multi-compartment model simulation of the cerebellum. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  11. Taiki Yamada, Rin Kuriyama, Tadashi Yamazaki. A computational model of the amygdala for eye movement modulation during facial expression recognition. NEURO2022, Jun 30 – July 3, 2022, Okinawa (Hybrid).
  12. Tadashi Yamazaki. Distributed brain-body model simulation using Robot Operating System (ROS). 16th accelerator workshop, September 16, 2022, Center for Planetary Science, Kobe University (Hybrid). 
  13. Tadashi Yamazaki. 25th Sciencecafe Chofu, September 10, 2022, Online.
  14. Rin Kuriyama, Hideyuki Yoshimura, Ryohei Hoashi, Tadashi Yamazaki. Developing a spiking network model of the cerebellum as a reinforcement learning machine. Annual Meeting of Society for Neuroscience (Neuroscience2022) , November 12-16, 2022, San Diego, USA.
  15. Kaaya Tamura, Yuki Yamamoto, Taira Kobayashi, Tadashi Yamazaki. Learning to discriminate stimulus sequences by dendritic computation of a single cerebellar Purkinje cell model. Annual Meeting of Society for Neuroscience (Neuroscience2022) , November 12-16, 2022, San Diego, USA.

2021

  1. Rin Kuriyama, Claudia Casellato, Egidio D’Angelo, Tadashi Yamazaki. Real-time simulation of a cerebellar scaffold model on graphics processing units. Frontiers in Cellular Neuroscience, 15, 623552, 2021.
  2. Tadashi Yamazaki, Jun Igarashi, Hiroshi Yamaura. Human-scale brain simulation via supercomputer: A case study on the cerebellum. Neuroscience, 462: 235-246, 2021.
  3. Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki. Testing an explicit method for multi-compartment neuron model simulation on a GPU. Cognitive Computation, OnlineFirst (Formal Citation will be 15: 1118-1131, 2023).
  4. Tadashi Yamazaki. Evolution of the Marr-Albus-Ito Model. In Book “The cerebellum as a CNS hub” (Eds, Mizusawa and Kakei), 239–255, Springer, 2021.
  5. Tadashi Yamazaki. Supercomputers are ready to simulate human-scale brain models. UH CS Colloquium, University of Hertfordshire, February 17, 2021.
  6. Tadashi Yamazaki, Tomoya Hirayama, Taiki Yamada, Rin Kuriyama, Jun Igarashi. Distributed brain-body closed-loop simulation using Supercomputer Fugaku. The 44th Annual Meeting of the Japan Neuroscience Society, July 28-31, 2021, Kobe (Hybrid).
  7. Katsuhiko Hasegawa, Taira Kobayashi, Masashi Ogaki, Tadashi Yamazaki. Numerical simulation of neurons in the inferior olive with precise spatial structure. The 44th Annual Meeting of the Japan Neuroscience Society, July 28-31, 2021, Kobe (Hybrid).
  8. Taira Kobayashi, Tadashi Yamazaki. An explicit method to accelerate simulation of a cerebellar multi-compartment network model. The 44th Annual Meeting of the Japan Neuroscience Society, July 28-31, 2021, Kobe (Hybrid).
  9. Tadashi Yamazaki.High-performance simulation of cerebellar neurons and microcircuits. The 44th Annual Meeting of the Japan Neuroscience Society / The 1st CJK Meeting, July 28-31, 2021, Kobe (Hybrid).
  10. Tadashi Yamazaki. Perspectives of cerebellar learning theory and whole brain learning mechanisms (invited, in Japanese). The 2nd Total Biomimetics Workshop. August 6, 2021, Online.
  11. Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki. High-performance simulation of multi-compartment models using an explicit method. 31th Annual Meeting of Japanese Neural Network Society (JNNS2021), September 21-23 2021, Online.
  12. Tomoya Hirayama, Rin Kuriyama, Taiki Yamada, Tadashi Yamazaki. Development of distributed brain-body simulation environment Using Neurorobotics Platform. 31th Annual Meeting of Japanese Neural Network Society (JNNS2021), September 21-23 2021, Online.
  13. Katsuhiko Hasegawa, Taira Kobayashi, Masashi Oogaki, Tadashi Yamazaki. Numerical simulation of an inferior olivary network model composed of neurons with fine spatial structures. 31th Annual Meeting of Japanese Neural Network Society (JNNS2021), September 21-23 2021, Online.
  14. Kaaya Tamura, Taira Kobayashi, Tadashi Yamazaki. Discrimination of stimulus sequences by dendritic computation. 31th Annual Meeting of Japanese Neural Network Society (JNNS2021), September 21-23 2021, Online.

2020

  1. Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Simulation of a human-scale cerebellar network model on the K computer. Frontiers in Neuroinformatics 14:16, 2020. 
  2. Tadashi Yamazaki, Development of cerebellum-like machine learning algorithms (invited, in Japanese). Interdisciplinary workshop: Advances of robot learning by brain-inspired information processing mechanisms, January 6, 2020, Nara.
  3. Yui ICHIKAWA, Daisuke ICHIMURA, Rie ASADA, Tadashi YAMAZAKI. Classification of caretakers’ trajectory: A time-series classifier approach. IEICE Technical Report NC2019-78(2020-03), Technical Committee on Neurocomputing, March 5, 2020, Tokyo (the meeting was cancelled)
  4. Taira Kobayashi, Tadashi Yamazaki. A new acceleration method for multi-compartment neuron model simulation. 43rd Annual Meeting of Japan Neuroscience Society (Neuroscience2020 Kobe), July 29-August 1, 2020, Online.
  5. Taira Kobayashi, Tadashi Yamazaki. Simulation of multicompartment neuron models using an explicit PDE solver. 30th Annual Meeting of Japanese Neural Network Society (JNNS2020), December 2-5, 2020, Online.
  6. Ryohei Hoashi, Tadashi Yamazaki. Building a spiking neural network of the cerebellum performing reinforcement learning. 30th Annual Meeting of Japanese Neural Network Society (JNNS2020), December 2-5, 2020, Online.
  7. Rin Kuriyama1, Tadashi Yamazaki. Realtime simulation of a cerebellar scaffold model on a GPU. 30th Annual Meeting of Japanese Neural Network Society (JNNS2020), December 2-5, 2020, Online.
  8. 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. 30th Annual Meeting of Japanese Neural Network Society (JNNS2020), December 2-5, 2020, Online.

2019

  1. Hiroshi Yamaura, Tadashi Yamazaki, Cerebellum, AI Dictionary (3rd ed.) (in Japanese), Kindai Kagakusha, December 21, 2019.
  2. 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, 13, 71, 2019.
  3. Daisuke Ichimura, Tadashi Yamazaki. A Pathological Condition Affects Motor Modules in a Bipedal Locomotion Model. Frontiers in Neurorobotics 13, 79, 2019.
  4. Tadashi Yamazaki, William Lennon. Revisiting a theory of cerebellar cortex (Invited Perspective Paper). Neuroscience Research, 2019(148):1-8, 2019. [Cover image] (Cover image)
  5. Hiroki Kurashige, Yamashita Yuichi, Hanakawa Takashi, Honda Manabu. Effective Augmentation of Creativity-Involving Productivity Consequent to Spontaneous Selectivity in Knowledge Acquisition. Frontiers in Psychology. 10:600, 2019.
  6. Tadashi Yamazaki. Large-scale simulation of the little brain (Invited). RIKEN Workshop on Neuromorphic Computing. March 11-13, 2019, RIKEN, Kobe.
  7. Hideyuki Yoshimura, Tadashi Yamazaki. Online reinforcement learning by a spiking network model of the basal ganglia. NICE (Neuro-Inspired Computational Elements) 2019 Workshop. March 26–28, 2019, Albany, NY.
  8. Tadashi Yamazaki, Jun Igarashi. Introduction to High-Performance Neurocomputing. Tutorial T-1. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  9. Carlos Gutierrez et al. A whole-brain spiking neural network model linking the basal ganglia, cerebellum, cortex and thalamus. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  10. Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Building a spiking network model of the cerebellum on K computer using NEST and MONET simulators. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  11. Daisuke Ichimura, Tadashi Yamazaki. Neuromusculoskeletal model for bipedal locomotion under a pathological condition. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  12. Hideyuki Yoshimura, Tadashi Yamazaki. Developing a spiking neuron network model of the basal ganglia performing reinforcement learning. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  13. Taro Sunagawa, Tadashi Yamazaki. Integration of a reinforcement learning module in REACH model for adaptive arm control. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  14. Yuki Yamamoto, Tadashi Yamazaki. Dendritic discrimination of temporal input sequences in cerebellar Purkinje cells. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
  15. Daisuke Ichimura, Tadashi Yamazaki. Simulation of bipedal locomotion in normal and pathological conditions. 29th Annual Conference of Japanese Neural Network Society. September 3–6, 2019, Tokyo Tech.
  16. Taira Kobayashi, Tadashi Yamazaki. Parallel numerical simulation of a multicompartment network model of the cerebellum on GPU. 29th Annual Conference of Japanese Neural Network Society. September 3–6, 2019, Tokyo Tech.
  17. Hideyuki Yoshimura, Tadashi Yamazaki. Purely spike-based implementation of temporal difference error and state-value function in reinforcement learning. 29th Annual Conference of Japanese Neural Network Society. September 3–6, 2019, Tokyo Tech.
  18. Taro Sunagawa, Kosuke Miyoshi, Hiroshi Yamakawa, Tadashi Yamazaki. Extention of REACH model with an actor-critic model and its application to adaptive arm control. 29th Annual Conference of Japanese Neural Network Society. September 3–6, 2019, Tokyo Tech.

2018

  1. Hiroki Kurashige, Yuichi Yamashita, Takashi Hanakawa, Manabu Honda. A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition. Frontiers in Human Neuroscience 12:111, 2018. https://doi.org/10.3389/fnhum.2018.00111
  2. Tadashi Yamazaki, Wataru Furusho. Real-time simulation of cerebellum. New Horizons of Computational Science with Heterogeneous Many-Core Processors. February 27-28, 2018, RIKEN, Wako.
  3. Tadashi Yamazaki. High-performance neurocomputing: unifying computational neuroscience and high-performance computing towards human-scale brain network simulation. Inter-disciplinary workshop, March 6, 2018, NAIST, Nara
  4. Hideyuki Yoshimura, Hiroki Kurashige, Tadashi Yamazaki. Real-time Reinforcement Learning Using a Spiking Neuron Network Model of Basal Ganglia. 2018 GPU Technology Conference (GTC), March 26-29, 2018, San Jose, California.
  5. Tadashi Yamazaki. Building the brain on supercomputers. BLSC Spring School, March 28–29, 2017, UEC.
  6. Tadashi Yamazaki. Reevaluating a theory of cerebellar cortex (invited). NC Satellite Workshop. June 14, 2018, OIST, Okinawa.
  7. Tadashi Yamazaki. Neural network simulation (Japanese, invited). Public symposium on Philosophy and AI. June 16, 2018, Toyo University, Tokyo.
  8. Tadashi Yamazaki, Jun Igarashi. Symposium “How a supercomputer accelerates neuroscience: towards the exaflops era”. The 41st Annual Meeting of the Japan Neuroscience Society, July 26-29, 2018, Kobe.
  9. Tadashi Yamazaki, Hiroshi Yamaura, Wataru Furusho. Towards building a human-scale artificial cerebellum (Oral presentation). The 41st Annual Meeting of the Japan Neuroscience Society, July 26-29, 2018, Kobe.
  10. Hiroki Kurashige, Yuichi Yamashita, Takashi Hanakawa, Manabu Honda. Entorhinal preplay-like fMRI activity contributes to upcoming knowledge acquisition depending on prior knowledge. The 41st Annual Meeting of the Japan Neuroscience Society, July 26-29, 2018, Kobe
  11. Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Scalable simulation of cerebellar corticonuclear microcomplexes using a tile-based neural network simulator on K supercomputer. The 41st Annual Meeting of the Japan Neuroscience Society, July 26-29, 2018, Kobe.
  12. Tadashi Yamazaki, Hiroshi Yamaura, Jun Igarashi. High-Performance Simulation of a Cerebellar Network Model using Monet Simulator on K Computer. The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018), October 24-27, 2018, OIST, Okinawa.
  13. Hiroshi Yamaura, Tadashi Yamazaki. A Computational Model for Accurate Movements in the Cerebellum. The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018), October 24-27, 2018, OIST, Okinawa.
  14. Daisuke Ichimura, Tadashi Yamazaki. Simulation Study of Bipedal Locomotion using Motor Modules.The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018), October 24-27, 2018, OIST, Okinawa.
  15. Wataru Furusho, Tadashi Yamazaki. Development of a Monkey-Scale Artificial Cerebellum with Online Learning Capability and its simulation on Supercomputer Gyoukou. The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018), October 24-27, 2018, OIST, Okinawa.
  16. Hideyuki Yoshimura, Tadashi Yamazaki. Online Reinforcement Learning Using a Spiking Neuron Network Model of the Basal Ganglia. The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018), October 24-27, 2018, OIST, Okinawa.
  17. Tadashi Yamazaki, Hiroshi Yamaura, Jun Igarashi. Implementation and simulation of a cerebellar model on a tile-based general spiking neural network simulator for K supercomputer. The 48th Annual Meeting of Society for Neuroscience (Neuroscience2018) , November 3-7, 2018, San Diego, USA.
  18. Hiroki Kurashige, Yuichi Yamashita, Takashi Hanakawa, Manabu Honda. Selectivity in knowledge acquisition effectively confers productivity: behavioral experiments and neural network simulation . The 48th Annual Meeting of Society for Neuroscience (Neuroscience2018) , November 3-7, 2018, San Diego, USA.
  19. Hiroshi Yamaura, Tadashi Yamazaki. Purkinje cells in a cerebellar neural network model acquire climbing fiber driven activity modulation for accurate movements. The 48th Annual Meeting of Society for Neuroscience (Neuroscience2018) , November 3-7, 2018, San Diego, USA.
  20. Daisuke Ichimura, Tadashi Yamazaki. Simulation study of bipedal walking based on motor modules of synergistic muscle activations. The 48th Annual Meeting of Society for Neuroscience (Neuroscience2018) , November 3-7, 2018, San Diego, USA.
  21. Wataru Furusho, Tadashi Yamazaki. Development of large-scale artificial cerebellum and its petaflops simulation on PEZY-SC2 processor. The 48th Annual Meeting of Society for Neuroscience (Neuroscience2018) , November 3-7, 2018, San Diego, USA.
  22. Tadashi Yamazaki. Computer simulation of a monkey-scale cerebellum with 8 billion spiking neurons in realtime and its applications (Invited). 75th Fujihara Seminar “Cerebellum as a CNS Hub”, December 1-4, 2018, Tokyo Medical and Dental University, Tokyo.

2017

  1. Tadashi Yamazaki. Reservoir Computing (Japanese article). Encyclopedia of Artificial Intelligence (JSAI ed.), pp. 528-530, Kyoritsu Shuppan, 2017.
  2. Tadashi Yamazaki, Jun Igarashi, Junichiro Makino, Toshikazu Ebisuzaki. Realtime simulation of a cat-scale artificial cerebellum on PEZY-SC processors. International Journal of High Performance Computing Applications, OnlineFirst (Formal Citation will be 33(1): 155-168, 2019.
  3. Daisuke Ichimura, Satoshi Yano, Tadashi Yamazaki. Computer simulation of a cerebellar-musculoskeletal model for bipedal locomotion with feedback compensation of foot contact. IEICE Transactions on Information and Systems (Japanese Edition), J100-D(8): 808-816, 2017.
  4. Tadashi Yamazaki, Jun Igarashi. High-performance neurocomputing for realtime simulation of neural network models (Japanese article). The Brain and Neural Networks 24(4): 172–181, 2017.
  5. Tadashi Yamazaki. Cat-scale artificial cerebellum on an energy-efficient supercomputer Shoubu (Invited). Workshop on Brain-inspired Hardware, March 30, 2017, AIST AI Research Center.
  6. Tadashi Yamazaki, Wataru Furusho. Implementing synaptic plasticity on a cat-scale artificial cerebellum. 40th Annual Meeting of the Japan Neuroscience Society, July 20-23, 2017, Makuhari Messe.
  7. Wataru Furusho, Tadashi Yamazaki. Implementation of Learning Mechanisms on a Cat-scale Cerebellar Model and its Simulation. 26th International Conference on Artificial Neural Networks (ICANN) 2017. September 11-14 2017, Sardinia, Italy.
  8. Tadashi Yamazaki. The Cerebellum as a Reinforcement Learning Machine?. 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center.
  9. Yamaura Hiroshi, Jun Igarashi, Tadashi Yamazaki. Spiking network model of the cerebro- cerebellar communication loop . 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center
  10. Daisuke Ichimura, Tadashi Yamazaki. Computer simulation of a pathological walk using a small humanoid robot. 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center
  11. Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Multi compartment model simulation of cerebellar granule layer. 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center
  12. Wataru Furusho, Tadashi Yamazaki. Speeding up the cat-scale artificial cerebellum for online learning. 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center
  13. Tadashi Yamazaki. Towards human-scale neural network simulation: Case study on the cerebellum (In Japanese, Invited). Scientific Systems Symposium. Oct 26, 2017, ANA Crown Plaza Kobe.
  14. Hiroki Kurashige, Tadashi Yamazaki. Reinforcement learning of motor sequences on motor primitives acquired in the convolutional network-based neocortical model. Annual Meeting of Society for Neuroscience (Neuroscience) 2017, November 11-15, 2017, Washington DC, USA.
  15. Daisuke Ichimura, Tadashi Yamazaki. Bipedal robot locomotion with feedback compensation of foot contact by a cerebellar model. Annual Meeting of Society for Neuroscience (Neuroscience) 2017, November 11-15, 2017, Washington DC, USA.
  16. Tadashi Yamazaki. Tutorial: Introduction of high-performance computing for neuroinformatics. Advances in Neuroinformatics 2017 (AINI2017), November 20-21, Wako. (Text and sample codes are available at GitHub)

2016

  1. Tadashi Yamazaki. Cerebellar clock. Annual Review Shinkei 2016. Chugai Igakusha. 1–6, 2016 (Japanese article).
  2. Masato Gosui, Tadashi Yamazaki. Real-world-time simulation of memory consolidation in a large-scale cerebellar model. Frontiers in Neuroanatomy, 10(21): 1–10, 2016. (Open Access)
    (Source code is available at Cerebellar Platform)
  3. Junwen Luo, Graeme Coapes, Terrence Mak, Tadashi Yamazaki, Chung Tin, Patrick Degenaar. Real-time simulation of passage-of-time encoding in cerebellum using a scalable FPGA-based system. IEEE Transactions on Biomedical Circuits and Systems, 10(3): 742-53, 2016.
  4. Tadashi Yamazaki, Junichiro Makino, Toshikazu Ebisuzaki. Perceptron and cerebellum (in Japanese). Neurology, 34(8):889–891, 2016.
  5. Tadashi Yamazaki. Toward building an artificial cerebellum (Invited). Advances in Neuroinformatics 2016, May 28–29, 2016, RIKEN.
  6. Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Efficient numerical simulation of neuron models with spatial structure on graphics processing units. Advances in Neuroinformatics 2016, May 28–29, 2016, RIKEN.
  7. Tadashi Yamazaki. A cat-scale artificial cerebellum on Shoubu (Invited, in Japanese). RIKEN Symposium “Supercomputer HOKUSAI and Shoubu, advances in computational science”, June 8, 2016, RIKEN.
  8. Tadashi Yamazaki, Yuki Yamamoto, Tsukasa Tsuyuki. Efficient computer simulation of spatial neuron models with graphics processing units. Neuroscience2016, July 20-22, 2016, Yokohama.
  9. Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Efficient numerical simulation of neuron models with spatial structure on a graphics processing unit. Neuroinformatics 2016, September 3-4, 2016, Reading, UK.
  10. Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Efficient numerical simulation of neuron models with spatial structure on graphics processing units. A. Hirose et al. (Eds.): ICONIP 2016, Part IV, LNCS 9950, pp. 279–285, 2016. DOI: 10.1007/978-3-319-46681-1 34
  11. Ohki Katakura, Tadashi Yamazaki. Computational model of the cerebellum and the basal ganglia for interval timing learning. A. Hirose et al. (Eds.): ICONIP 2016, Part IV, LNCS 9950, pp. 244–251, 2016. DOI: 10.1007/978-3-319-46681-1 30
  12. Ohki Katakura, Tadashi Yamazaki. A unified model of the cerebellum and the basal ganglia for temporal information processing. Annual Meeting of Society for Neuroscience (Neuroscience) 2016, November 12-16, San Diego, USA.
  13. Daisuke Ichimura, Tadashi Yamazaki. Parameter tuning for stable bipedal walking of a neuromusculoskeletal model by genetic algorithms. Annual Meeting of Society for Neuroscience (Neuroscience) 2016, November 12-16, San Diego, USA.

2015

  1. Tadashi Yamazaki, Soichi Nagao, William Lennon, Shigeru Tanaka. Modeling memory consolidation during post-training periods in cerebellovestibular learning. Proceedings of the National Academy of Sciences of the United States of America, 112(11): 3541-3546, 2015. (Open Access)
  2. William Lennon, Tadashi Yamazaki, Robert Hecht-Nielsen. A Model of In Vitro Plasticity at the Parallel Fiber – Molecular Layer Interneuron Synapses. Frontiers in Computational Neuroscience, 9(150): 1-12, 2015. doi: 10.3389/fncom.2015.00150.
  3. Tadashi Yamazaki. Computer simulation of the cerebellum. Transactions of JSAI Special Issue “Brain and Nervous System Simulation”, 30(5): 639-646, 2015.
  4. Tadashi Yamazaki. Towards building the artificial cerebellum (Invited). Tokai Univ Symposium “Frontiers in the cerebellar research by young scientists”. January 10, 2015, Tokai University.
  5. Tadashi Yamazaki, Daisuke Ichimura. On a larger-scale artificial cerebellum. 7th accelerator workshop, April 9-10, 2015, Hamamatsu.
  6. Tadashi Yamazaki. Modeling the cerebellum: Top-down approach and bottom-up approach. 38th Annual Meeting of the Japan Neuroscience Society Symposium “Integration of top-down and bottom-up approaches in cerebellar research”, July 28-31, 2015, Kobe.
  7. Tadashi Yamazaki. Building a 1 mm^3 cerebellar module on a computer (Invited). Workshop3 “Neuromorphic Computing and Challenges”, INCF Congress Neuroinformatics 2015. Aug 20-22, 2015, Cairns, Australia.
  8. Masato Gosui, Tadashi Yamazaki. Realtime simulation of memory consolidation in a large-scale cerebellar model. INCF Congress Neuroinformatics 2015. Aug 20-22, 2015, Cairns, Australia.
  9. Tadashi Yamazaki. Building a 1 mm^3 cerebellum on graphics processing units. Annual Conference of JNNS Organized Session “High-performance computing technology accelerates neural network simulation”. September 2-4, 2015, UEC Tokyo, Chofu
  10. Tadashi Yamazaki. Theoretical model of the cerebellum for long-term adaptation of vestibulo-ocular reflex. 25th Annual conference of Japanese Neural Network Society. September 2-4, 2015, UEC Tokyo.
  11. Masato Gosui, Tadashi Yamazaki. Large-scale Simulation of Cerebellar Memory Consolidation in Realtime. 25th Annual conference of Japanese Neural Network Society. September 2-4, 2015, UEC Tokyo.
  12. Daisuke Ichimura, Satoshi Yano, Tadashi Yamazaki.. Computer simulation of bipedal locomotion by a brain-musculoskeletal dynamical model. 25th Annual conference of Japanese Neural Network Society. September 2-4, 2015, UEC Tokyo.
  13. Tadashi Yamazaki. Code generator for spatial neuron model simulation with graphics processing units. Neuroscience 2015, October 17-21, 2015, Chicago, USA.
  14. Ohki Katakura, Tadashi Yamazaki. A theoretical model for robust representation of the passage of time by feedback signals. Neuroscience 2015, October 17-21, 2015, Chicago, USA.
  15. Daisuke Ichimura, Tadashi Yamazaki. Computer simulation of a brain-musculoskeletal dynamical model for bipedal walking towards personalized rehabilitation. Neuroscience 2015, October 17-21, 2015, Chicago, USA.

2014

  1. Leonard F. Koziol, Deborah Budding, Nancy Andreasen, Stefano D’Arrigo, Sara Bulgheroni, Hiroshi Imamizu, Masao Ito, Mario Manto, Cherie Marvel, Krystal Parker, Giovanni Pezzulo, Narender Ramnani, Daria Riva, Jeremy Schmahmann, Larry Vandervert, Tadashi Yamazaki. Consensus Paper: The Cerebellum’s Role in Movement and Cognition. The Cerebellum, 13(1):151-177, 2014. (Open Access)
  2. Masao Ito, Kazuhiko Yamaguchi, Soichi Nagao, Tadashi Yamazaki. Long-Term Depression as a Model of Cerebellar Plasticity. Progress in Brain Research, 210:1-30, 2014.
  3. William Lennon, Robert Hecht-Nielsen, Tadashi Yamazaki. A spiking network model of cerebellar Purkinje cells and molecular layer interneurons exhibiting irregular firing. Frontiers in Computational Neuroscience, 8(157): 1-10, 2014.
  4. Masato Gosui, Tadashi Yamazaki, Yoko Yamaguchi. Accelerating NEURON Simulator by GPU. GPU Technology Conference (GTC14), Mar 24-27, 2014, San Jose, California, USA.
  5. JunWen Luo, Graeme Coapes, Terrence Mak, Tadashi Yamazaki, Chung Tin, Patrick Degenaar. A Scalable FPGA-based Cerebellum for Passage-of-Time Representation. 36th Annual International Conference of the IEEE Engineering in Medicine and Biological Society (EMBC’14), pp. 1302-1305. Aug 26-30, 2014, Chicago, USA.
  6. Tadashi Yamazaki, Shusei Yasumuro, Daisuke Ichimura. Predicting Cerebellum. 6th Acceleration Technology Workshop, Jun 19-20, 2014, Okinawa Institute of Science and Technology.
  7. Daisuke Ichimura, Satoshi Yano, Tadashi Yamazaki. Dynamical simulation of a brain-musculoskeletal system for rehabilitation. 8th Motor Control Workshop. Aug 7-9, 2014, Tsukuba University.
  8. Ohki Katakura, Tadashi Yamazaki. Feedback signals improve robustness of the representation of time (Oral presentation). 24th Annual Conference of Japanese Neural Network Society (JNNS2014), Aug 27-29, 2014, Future University Hakodate, Hokkaido.
  9. Tadashi Yamazaki, Jun Igarashi. One-million spiking neuron simulation in realtime on multi GPUs. 24th Annual Conference of Japanese Neural Network Society (JNNS2014), Aug 27-29, 2014, Future University Hakodate, Hokkaido.
  10. Tadashi Yamazaki. Realtime simulation of one-million spiking neurons in a realistic cerebellar model using multiple GPUs (Oral presentation). Advances in Neuroinformatics (AINI2014), Sep 25,26, 2014, RIKEN Brain Science Institute.
  11. Tadashi Yamazaki. Neural network models for sequence and timing (Invited) 8th Whole Brain Architecture Workshop, Nov 10, 2014, Grand Tokyo South Tower 41th Floor Academy Hall.
  12. William Lennon, Robert Hecht-Nielsen, Tadashi Yamazaki. A simulation of cerebellar function with learning at parallel fiber – molecular layer interneurons. Program No. 341.09. 2014 Neuroscience Meeting Planner. Washington DC: Society for Neuroscience, 2014. Online. 44th Annual Meeting of Society for Neuroscience, Nov 15-19, Washington DC, USA.

2013

  1. Tadashi Yamazaki, Jun Igarashi. Realtime Cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit. Neural Networks, 47: 103-111, 2013.
  2. Soichi Nagao, Takeru Honda, Tadashi Yamazaki. Transfer of memory trace of cerebellum-dependent motor learning in human prism adaptation: A model study. Neural Networks, 47: 72-80, 2013.
  3. Tadashi Yamazaki. Cerebellar internal clock and timing control. Neurological Medicine, 78(6):635-641, 2013. (Japanese article)
  4. Tadashi Yamazaki. Creating the Cerebellum on a Computer. 6th Next Generation Doctors/Researchers Symposium (Invited), Feb 19, 2013, Jichi Medical University.
  5. Tadashi Yamazaki. Realtime simulation of a cerebellar spiking network model towards neuroprosthesis. AAAI Spring Symposium Series “Data driven wellness: From Self-Tracking to Behavior Change”, Mar 25-27 2013 Palo Alto, CA, USA.
  6. Tadashi Yamazaki. Realtime simulation of a cerebellar spiking network model using a GPU. Open Source Brain Kickoff Meeting (Invited). May 13-15 2013, Sardinia, Italy.
  7. Tadashi Yamazaki, Jun Igarashi, Soichi Nagao. Computer simulation of long-term cerebellar learning in real-life time. Neuro 2013, Jun 20-23 2013, Kyoto, Japan.
  8. Manabu Inaba, Tadashi Yamazaki. Reinforcement learning of teacher signals for supervised learning. Neuro 2013, Jun 20-23 2013, Kyoto, Japan.
  9. Mamoru Kubota, Tadashi Yamazaki, Tetsuro Nishino. Self-organization of motor primitives from motion data of humanoid robot. Neuro 2013, Jun 20-23 2013, Kyoto, Japan.
  10. Tadashi Yamazaki, Building the artificial cerebellum on a computer. Neuro 2013 Satellite Symposium “The cerebellum – from molecular biology to cognitive science” (Invited), Jun 22 2013, Kyoto, Japan.
  11. Mamoru Kubota, Tadashi Yamazaki, Tetsuro Nishino. Brain-Inspired Motion Programming for Hobby-Use Humanoid Robots. 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), pp. 472-475. Jul 1-3 2013, Honolulu, Hawaii, USA.
  12. Manabu Inaba, Tadashi Yamazaki. An Actor-Critic Model of Saccade Adaptation. Computational Neuroscience (CNS) 2013 Paris, Jul 14-16 2013, Paris, France. (A part of travel fee was supported by UEC 80th Anniversary Fund)
  13. Tadashi Yamazaki. Realtime Cerebellum: GPU-accelerated numerical simulation of a cerebellar spiking network model in realtime. Workshop on Computations in the cerebellar circuit: advances on the modeling front (Invited), Computational Neuroscience (CNS) 2013 Paris, Jul 17-18 2013, Paris, France.
  14. Tadashi Yamazaki, Jun Igarashi, Soichi Nagao. Computer simulation of cerebellar motor learning in real-world time. Gordon research conference (GRC) on cerebellum, Aug 11-16 2013, New Hampshire, USA.
  15. Tadashi Yamazaki. Realtime simulation of a cerebellar spiking network model using GPUs. “Beyond the brain!” 5th acceleration technology workshop (Invited). Sep 5-6, 2013, Aizu University.
  16. Tadashi Yamazaki. Simulating the cerebellum. 3rd JSK seminar. Oct 25, 2013, UEC Tokyo.
  17. Tadashi Yamazaki. Understanding the cerebellum by building it. 87th Brain Club (Invited). Nov 1, 2013, Keio University.
  18. Tadashi Yamazaki, Jun Igarashi, Soichi Nagao. Real-life time computer simulation of long-term cerebellar motor learning. Program No. 469.22. 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online. 43rd Annual Meeting of Society for Neuroscience, Nov 9-13, San Diego, California, USA.
  19. William C Lennon Jr, Tadashi Yamazaki, Robert Hecht-Nielsen. A computational model of the cerebellum with learning at parallel fiber – Basket cell synapses. Program No. 469.18. 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online. 43rd Annual Meeting of Society for Neuroscience, Nov 9-13, San Diego, California, USA.

2012

  1. Tadashi Yamazaki. Cerebellar internal clock: its neural mechanisms and functional roles. Clinical Neurology 52(11): 990-993, 2012.
  2. Tadashi Yamazaki, Soichi Nagao. A Computational Mechanism for Unified Gain and Timing Control in the Cerebellum. PLoS ONE, 7(3): e33319, 2012.
  3. Soichi Nagao, Tadashi Yamazaki. Seven unsolved fundamental questions on cerebellum. Seitai No Kagaku 63(1): 3-10, 2012.
  4. Tadashi Yamazaki, Jun Igarashi. Realtime Cerebellum: Realtime Simulation of a Realistic Cerebellar Model using a GPU for Real-World Engineering Applications. GPU Technology Conference 2012, May 13-19 2012, San Jose, California, USA.
  5. Tadashi Yamazaki. Neural mechanism and functional role of the cerebellar internal clock. 53rd Annual Meeting of the Japanese Society of Neurology Symposium “Cerebellar Symptoms” (Invited), May 23, 2012, Tokyo International Forum.
  6. Tadashi Yamazaki, Soichi Nagao. Theory on memory transfer during post-training periods in cerebellar motor learning. 22nd annual conference of Japanese neural network society (JNNS2012), Sep 12-14, 2012, Nagoya Institute of Technology.
  7. Tadashi Yamazaki, Soichi Nagao. Theoretical study on importance of a post-training period for memory transfer in cerebellar motor learning. Program No. 379.12. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online. 42nd Annual Meeting of Society for Neuroscience, Oct 13-17, New Orleans, Louisiana, USA.
  8. Tadashi Yamazaki, Soichi Nagao. Modeling Post-training Memory Transfer in Cerebellar Motor Learning. T. Huang et al. (Eds.): ICONIP 2012, Part III, LNCS 7665, pp. 417-424. 2012. Nov 12-15, Doha, Qatar.
  9. Tadashi Yamazaki. NumericalBrain: Creating the Cerebellum on a Computer. Brainware Seminar (Invited), Dec 25, 2012, Tohoku University.