Huu Hoang

发表

New insights into olivo-cerebellar circuits for learning from a small training sample

M. Kawato, I. Tokuda, Huu Hoang, 2017, Current Opinion in Neurobiology.

Improved hyperacuity estimation of spike timing from calcium imaging

M. Kawato, Masa-aki Sato, S. Shinomoto, 2020, Scientific Reports.

Precise hyperacuity estimation of spike timing from calcium 1 imaging 2 3

M. Kawato, Masa-aki Sato, S. Shinomoto, 2019 .

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons

M. Kawato, K. Aihara, K. Toyama, 2020, PLoS computational biology.

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons

M. Kawato, K. Aihara, K. Toyama, 2019, bioRxiv.

Electrical coupling controls dimensionality and chaotic firing of 1 inferior olive neurons 2 3

M. Kawato, K. Aihara, N. Schweighofer, 2019 .

50 Years Since the Marr, Ito, and Albus Models of the Cerebellum

Mitsuo Kawato, Shogo Ohmae, Huu Hoang, 2020, Neuroscience.

Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning

M. Kawato, K. Toyama, M. Matsuzaki, 2022, bioRxiv.

Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

Kazuyuki Aihara, Mitsuo Kawato, Yuichi Katori, 2013, Neural Networks.

Adaptive coupling of inferior olive neurons in cerebellar learning

Mitsuo Kawato, Nicolas Schweighofer, Isao T. Tokuda, 2013, Neural Networks.

50 Years Since the Marr, Ito, and Albus Models of the Cerebellum

Mitsuo Kawato, Shogo Ohmae, Huu Hoang, 2020, Neuroscience.

Experimental Validation of Transient Spectral Finite Element Simulation Tools Dedicated to Guided Wave-Based Structural Health Monitoring

Tom Druet, Olivier Mesnil, Edouard Demaldent, 2021, Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems.

Negative reward-prediction errors of climbing fiber inputs for cerebellar reinforcement learning algorithm

M. Kawato, K. Toyama, M. Matsuzaki, 2023, bioRxiv.

Precise hyperacuity estimation of spike timing from calcium imaging

Yuji Ikegaya, Mitsuo Kawato, Shigeru Shinomoto, 2019, bioRxiv.

Hyperacuity Bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells

Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama, 2017, bioRxiv.

Effect of Fiber Bragg Gratings Receivers’ Directivity on Guided Wave Tomography of Pipe

Huu Hoang, B. Chapuis, T. Druet, 2019, Structural Health Monitoring 2019.

Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics

Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama, 2015, Front. Comput. Neurosci..

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning

M. Kawato, K. Toyama, M. Matsuzaki, 2024, bioRxiv.