Junichiro Yoshimoto

发表

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2002, ICANN.

Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data

Junichiro Yoshimoto, Kenji Doya, Kosuke Yoshida, 2017, BMC Bioinformatics.

Connectivity inference from neural recording data: Challenges, mathematical bases and research directions

Junichiro Yoshimoto, Kenji Doya, Ildefons Magrans de Abril, 2017, Neural Networks.

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Robust Population Coding in Free-Energy-Based Reinforcement Learning

Junichiro Yoshimoto, Kenji Doya, Makoto Otsuka, 2008, ICANN.

Free-energy-based reinforcement learning in a partially observable environment

Junichiro Yoshimoto, Kenji Doya, Makoto Otsuka, 2010, ESANN.

A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity

Junichiro Yoshimoto, Kenji Doya, Takashi Nakano, 2010, PLoS Comput. Biol..

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network

Junichiro Yoshimoto, Shin Ishii, Kenji Doya, 2015, ICONIP.

On-Line EM Reinforcement Learning for Automatic Control of Continuous Dynamical Systems

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003 .

Acrobot control by learning the switching of multiple controllers

Junichiro Yoshimoto, Shin Ishii, Yoichi Tokita, 2005, Artificial Life and Robotics.

A Generalized Natural Actor-Critic Algorithm

Junichiro Yoshimoto, Kenji Doya, Tetsuro Morimura, 2009, NIPS.

Calcium Responses Model in Striatum Dependent on Timed Input Sources

Junichiro Yoshimoto, Kenji Doya, Jeffery R. Wickens, 2009, ICANN.

A reinforcement learning approach to the shepherding task using SARSA

Junichiro Yoshimoto, Kazushi Ikeda, Clark Kendrick Go, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2001, Systems and Computers in Japan.

Bayesian System Identification of Molecular Cascades

Junichiro Yoshimoto, Kenji Doya, K. Doya, 2007, ICONIP.

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2011, Intell. Autom. Soft Comput..

A New Natural Policy Gradient by Stationary Distribution Metric

Junichiro Yoshimoto, Kenji Doya, Tetsuro Morimura, 2008, ECML/PKDD.

A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes

Junichiro Yoshimoto, Kenji Doya, Takashi Nakano, 2013, Front. Comput. Neurosci..

Normalized Gaussian Network Based on Variational Bayes Inference and Hierarchical Model Selection

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003 .

Control of exploitation-exploration meta-parameter in reinforcement learning

Junichiro Yoshimoto, Shin Ishii, Wako Yoshida, 2002, Neural Networks.

Application of reinforcement learning to balancing of Acrobot

Junichiro Yoshimoto, Shin Ishii, M. Sato, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Resting state functional connectivity explains individual scores of multiple clinical measures for major depression

Junichiro Yoshimoto, Kenji Doya, Kosuke Yoshida, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003, ICANN.

A reinforcement learning for continuous systems

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2000 .

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

Junichiro Yoshimoto, Jan Peters, Kenji Doya, 2010, Neural Computation.