Publications
Yu Terada and Taro Toyoizumi,
"Chaotic neural dynamics facilitate probabilistic computations through sampling,"
PNAS Accepted, bioRxiv:2023.05.04.539470.
Yoshiyuki Y. Yamaguchi and Yu Terada,
"Reconstruction of Phase Dynamics from Macroscopic Observations Based on Linear and Nonlinear Response Theories,"
Physical Review E Accepted, arXiv:2301.02173.
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, and Yoshiyuki Kabashima,
"Inferring neuronal couplings from spiking data using a systematic procedure with a statistical criterion,"
Neural Computation 32, 2187-2211 (2020), [arXiv:1803.04738],
[the picture of our in vitro system is on the cover of the issue].
Yu Terada and Yoshiyuki Y. Yamaguchi,
"Linear response theory in coupled phase oscillators with general coupling functions,"
Journal of Physics A: Mathematical and Theoretical 53, 044001 (2020)
in special issue Long-range Interactions and Synchronization, [arXiv:1907.10983].
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, and Yoshiyuki Kabashima,
"Objective and efficient inference for couplings in neuronal networks,"
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), [arXiv:1805.07061], code (Matlab),
[featured in Machine Learning 2019 in Journal of Statistical Mechanics: Theory and Experiment; J. Stat. Mech. (2019) 124010].
Yu Terada, Ryosuke Yoneda, Toshio Aoyagi, and Yoshiyuki Y. Yamaguchi,
"A role of asymmetry in linear response of globally coupled oscillator systems,"
arXiv:1802.08383.
Yu Terada, Keigo Ito, Toshio Aoyagi and Yoshiyuki Y. Yamaguchi,
"Nonstandard transitions in the Kuramoto model: a role of asymmetry in natural frequency distributions",
Journal of Statistical Mechanics: Theory and Experiment, (2017) 013403, [arXiv:1609.01489],
[selected in JSTAT Highlights].
Yu Terada and Toshio Aoyagi,
"Dynamics of two populations of phase oscillators with different frequency distributions,"
Physical Review E 94, 012213 (2016), [arXiv:1405.4778].
Presentations (international)
Yu Terada and Johnatan Aljadeff, "Stable coding in gated recurrent neural networks,"
COSYNE 2023, Fairmont The Queen Elizabeth, Montréal, Canada, Mar., 2023 (poster).
Yu Terada and Taro Toyoizumi, "Chaotic neural dynamics facilitate representations for probabilistic computation through their intrinsic variability,"
Neuroscience 2022, San Diego Convention Center, San Diego, United States, Nov., 2022 (poster).
Yu Terada, Tomoyuki Obuchi, Takuya Isomura and Yohisyuki Kabashima, "Objective and efficient inference for couplings in neuronal networks,"
Statistical Physics and Neural Computation (SPNC-2019), Sun Yat-sen University, Guangzhou, China, Oct., 2019 (oral).
Yu Terada, Tomoyuki Obuchi, Takuya Isomura and Yohisyuki Kabashima, "Objective and efficient inference for couplings in neuronal networks,"
40 years of Replica Symmetry Breaking, Sapienza University of Rome, Rome, Italy, Sep., 2019 (poster).
Yu Terada, Tomoyuki Obuchi, Takuya Isomura and Yoshiyuki Kabashima, "Objective and efficient inference for couplings in neuronal networks,"
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Palais des Congrès de Montréal, Montréal, Canada, Dec., 2018 (poster).
Yu Terada, Keigo Ito, Yoshiyuki Y. Yamaguchi and Toshio Aoyagi, "Analysis of coupled phase oscillators with bimodal natural frequency distributions,"
Interdisciplinary Applications of Nonlinear Science, Kagoshima University, Kagoshima, Japan, Nov., 2016 (oral).
Yu Terada, "Search for Network Patterns by MCMC,"
Kyoto Winter School for Statistical Mechanics, Yukawa Institute for Theoretical Physics, Kyoto, Japan, Feb., 2015 (poster).
Yu Terada and Toshio Aoyagi, "Two populations of phase oscillators with different distributions of natural frequencies,"
GCOE Symposium Development of emergent new fields, Kyoto University Clock Tower Centennial Hall International Conference Hall, Kyoto, Japan, 12-14 Feb., 2013 (poster).
Presentations (domestic)
Proceeding (domestic)
Main Employment
2022.3- Postdoctral Scholar at The Theoretical Neuroscience Lab, Neurobiology Section, Division of Biological Sciences, University of California, San Diego.
2021.10-2022.2 Research Scientist at Lab for Neural Computation and Adaptation in RIKEN Center for Brain Science.
2018.4-2021.9 Special Postdoctoral Researcher at Lab for Neural Computation and Adaptation in RIKEN Center for Brain Science.
2017.4-2018.3 Postdoctoral Researcher at Kabashima Lab in Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology.
Education
2014.4-2017.3 Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Informatics, Kyoto University (Doctor of Informatics)
Supervisor: Prof. Toshio Aoyagi,
My thesis: "Theoretical Research on Phase Dynamics and Information Processing of Neuronal Rhythmical Networks"
2016.4-2016.7 Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology (Visiting student) Supervisor:
Prof. Yoshiyuki Kabashima.
2012.4-2014.3 Department of Applied Analysis and Complex Dynamics, Graduate School of Informatics, Kyoto University (Master of Informatics) Supervisor:
Prof. Toshio Aoyagi.
2008.4-2012.3 Department of Physics, Tokyo Institute of Technology (Bachelor of Science) Supervisor:
Prof. Hidetoshi Nishimori.
2005.4-2008.3 Aoyama Gakuin Senior High School.
Other Positions
2022.3- Visiting Postdoctoral Researcher at Kabashima Lab, Institute for Physic of Intelligence, Graduate School of Science, The University of Tokyo.
2022.3- Visiting Postdoctoral Researcher at Lab for Neural Computation and Adaptation in RIKEN Center for Brain Science.
2018.10-2019.2, 2019.6-2019.7 Visiting Postdoctoral Researcher at Roudi group Kavli Institute for Systems Neuroscience, School of Medicine, Norwegian University of Science and Technology.
2018.4-present Visiting Postdoctoral Researcher at Kabashima Lab Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology.
2014.12-2015.2 Research Assistant: JST CREST "Alliance for Breakthrough between Mathematics and Science (ABMS)" (Team KOKUBU).
Affiliation Society
The Physical Society of Japan, Japanese Neural Network Society, The Japan Neuroscience Society, Society for Neuroscience.
Referee
Physical Review E, Physical Review Letters, Physica D, Science Advances, Journal of Statistical Mechanics: Theory and Experiment, Journal of the Physical Society of Japan.
Teaching Assistant
2013.4-2013.7 Mechanics
2013.10-2014.1 Nonequillibrium Physics
2013.10-2016.1 Analytical Mechanics
