(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 Neurol Network Society. Oct 19, 2016.

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.

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.

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, In Press.
  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) Vol.J100-D No.8 pp.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, 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 (pp. 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.