Members

Person in charge

Staffs

  • Mao Iwata, Technical Staff
  • Daisuke Ichimura, Adjunct Research Scientist (Postdoc Fellow @ AIST)
  • Taira Kobayashi, Adjunct Research Scientist (Assistant Professor @ Yamaguchi University)

FY2022

Alumni

FY2021

FY2020

FY2019

  • Hiroshi Yamaura, Research Scientist
    • Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. A spiking network model of the cerebrocerebellar communication loop. 27th Annual Conference of Japanese Neural Network Society (JNNS2017), Sep 20-22, 2017, Kitakyushu International Conference Center.
    • Hiroshi Yamaura, Jun Igarashi, Tadashi Yamazaki. Scalable simulation of cerebellar corticonuclear microcomplexes using a tile-based neural network simulator on K supercomputer. 41th Annual Meeting of Japan Neuroscience Society (Neuroscience2018 Kobe), July 26-29, 2018, Kobe.
    • 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.
    • 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.
  • Daisuke Ichimura (D3)
    • Postdoctoral fellow at the Advanced Institute of Science and Technology (AIST) since December 2020
    • Received FY2019 Student Award
    • Received FY2016 Meguro Award
    • Received FY2014 Student Award
    • Daisuke Ichimura, Tadashi Yamazaki. A Pathological Condition Affects Motor Modules in a Bipedal Locomotion Model. Frontiers in Neurorobotics 13:79, 2019.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • Daisuke Ichimura, Tadashi Yamazaki. Neuromusculoskeletal model for bipedal locomotion under a pathological condition. Computational Neuroscience (CNS*2019), July 13-17, 2019, Barcelona, Spain.
    • 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.
    • 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)
  • Hideyuki Yoshimura (M2)
    • Ph.D. Student of Okinawa Institute of Science and Technology Graduate School, JP since April 2020
    • 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.
    • 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.
    • 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.
    • 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.
  • Taro Sunagawa (M2)
    • Internship at Dwango AI Lab (October 2018 – March 2019)
    • Selected as a student in Nengo Summer School (Jun 9-21, 2019 at Ontario, Canada)
    • 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.
    • 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.
  • Rie Asada, Technical Staff
    • 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)
  • Yui Ichikawa, Technical Staff
    • 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)

FY2018

  • Hiroki Kurashige, Research Scientist (Tenure-track lecturer of Tokai University since November 2018)
  • Wataru Furusho (M2)
    • Received FY2018 Meguro Award
    • 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. 2017年9月11-14日, Sardinia, Italy.
    • 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.
    • 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.
    • 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.

FY2017

  • Tsukasa Tsuyuki (M2)
    • Received FY2015 Meguro Award
    • 2017 Kobe HPC Spring School student
    • 2016 Kobe HPC Summer School student
    • Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Computer simulation of neuron models with spatial structure on graphics processing units. Advances in Neuroinformatics 2016, May 28–29, 2016, RIKEN.
    • Tsukasa Tsuyuki, Yuki Yamamoto, Tadashi Yamazaki. Efficient numerical simulation of neuron models with spatial structure on graphics processing units. Neuroinformatics 2016, September 3-4, 2016, Reading, UK.
    • 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
    • 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.

FY2016

  • Ohki Katakura (M2)
    • Ph.D. Student of University of Hertfordshire, UK since October 2018
    • Received FY2016 Student Award
    • Received FY2014 Meguro Award
    • Accepted as a student in 2014 JNNS Autumn Schoool for Computational Neuroscience (ASCONE)
    • 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.
    • 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.
    • 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
    • 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.

FY2015

FY2014

  • Shusei Yasumuro (B4)

FY2013