Research field (3)：
Soft computing
, Mathematical physics and basic theory
, Basic brain sciences
Research keywords (8)：
Theoretical neuroscience
, Statistical mechanics
, Information theory
, Computational Neuroscience
, 非線形動力学
, Chaos
, Statistical inference
, Synchronization
Research theme for competitive and other funds (3)：
2019 - 2023 Theoretical research on spatiotemporal information processing in the brain
2022 - 2023 Neural mechanism for 3 dimensional spacial navigation
2018 - 2019 Development of inference theory for phase oscillator models and understanding the way of information processing in the grid-cell networks
Papers (9)：
Yu Terada, Taro Toyoizumi. Chaotic neural dynamics facilitate probabilistic computations through sampling. Proceedings of the National Academy of Sciences. 2024. 121. 18
Yoshiyuki Y. Yamaguchi, Yu Terada. Reconstruction of phase dynamics from macroscopic observations based on linear and nonlinear response theories. Physical Review E. 2024. 109. 2
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima. Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion. Neural Computation. 2020. 32. 11. 2187-2211
Stable coding in gated recurrent neural networks
(COSYNE 2023 2023)
Chaotic neural dynamics facilitate representations for probabilistic computation through their intrinsic variability
(Neuroscience 2022 2022)
Computational roles of chaotic neural activity in probabilistic inference
(NEURO2022 2022)
多点同時計測データからの結合の統計的推定法と神経データへの適用
(第13回 数理モデリング研究会 on Zoom: Workshop on multitrack event-trains in neural, social, seismological, and financial data 2021)
