On-Line EM Reinforcement Learning. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (IJCNN (3), 2000)

Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (Syst. Comput. Jpn., 2001)

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (ICANN, 2002)

Control of exploitation-exploration meta-parameter in reinforcement learning. - Shin Ishii; Wako Yoshida; Junichiro Yoshimoto (Neural Networks, 2002)

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. - Junichiro Yoshimoto; Shin Ishii; Masa-aki Sato (ICANN, 2003)

A solving method for MDPs by minimizing variational free energy. - Junichiro Yoshimoto; Shin Ishii (IJCNN, 2004)

Bayesian representation learning in the cortex regulated by acetylcholine. - Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii (Neural Networks, 2004)

Acrobot control by learning the switching of multiple controllers. - Junichiro Yoshimoto; Masaya Nishimura; Yoichi Tokita; Shin Ishii (Artif. Life Robotics, 2005)

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. - Junichiro Hirayama; Junichiro Yoshimoto; Shin Ishii (Neurocomputing, 2006)

Bayesian System Identification of Molecular Cascades. - Junichiro Yoshimoto; Kenji Doya (ICONIP (1), 2007)

Robust Population Coding in Free-Energy-Based Reinforcement Learning. - Makoto Otsuka; Junichiro Yoshimoto; Kenji Doya (ICANN (1), 2008)

A New Natural Policy Gradient by Stationary Distribution Metric. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (ECML/PKDD (2), 2008)

Calcium Responses Model in Striatum Dependent on Timed Input Sources. - Takashi Nakano; Junichiro Yoshimoto; Jeff Wickens; Kenji Doya (ICANN (1), 2009)

A Generalized Natural Actor-Critic Algorithm. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (NIPS, 2009)

Free-energy-based reinforcement learning in a partially observable environment. - Makoto Otsuka; Junichiro Yoshimoto; Kenji Doya (ESANN, 2010)

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters 001; Kenji Doya (Neural Comput., 2010)

A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity. - Takashi Nakano; Tomokazu Doi; Junichiro Yoshimoto; Kenji Doya (PLoS Comput. Biol., 2010)

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. - Junichiro Yoshimoto; Masa-aki Sato; Shin Ishii (Intell. Autom. Soft Comput., 2011)

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. - Takashi Nakano; Junichiro Yoshimoto; Kenji Doya (Frontiers Comput. Neurosci., 2013)

Resting state functional connectivity explains individual scores of multiple clinical measures for major depression. - Kosuke Yoshida; Yu Shimizu; Junichiro Yoshimoto; Shigeru Toki; Go Okada; Masahiro Takamura; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (BIBM, 2015)

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. - JeongHun Baek; Shigeyuki Oba; Junichiro Yoshimoto; Kenji Doya; Shin Ishii (ICONIP (3), 2015)

A reinforcement learning approach to the shepherding task using SARSA. - Clark Kendrick Go; Bryan Lao; Junichiro Yoshimoto; Kazushi Ikeda (IJCNN, 2016)

Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. - Kosuke Yoshida; Junichiro Yoshimoto; Kenji Doya (BMC Bioinform., 2017)

Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. - Ildefons Magrans de Abril; Junichiro Yoshimoto; Kenji Doya (Neural Networks, 2018)

Statistical analysis on characteristic whisker movements observed in reward processing. - Junichiro Yoshimoto; Jumpei Ozaki; Kohta Mizutani; Takashi Nakano; Kazushi Ikeda; Takayuki Yamashita (APSIPA, 2019)

Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data. - Yu Shimizu; Junichiro Yoshimoto; Masahiro Takamura; Go Okada; Tomoya Matsumoto; Manabu Fuchikami; Satoshi Okada; Shigeru Morinobu; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (APSIPA, 2020)

Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats. - Panyawut Sri-Iesaranusorn; Saeka Shimochi; Naoki Ono; Emrah Yatkin; Hidehiro Iida; Kazushi Ikeda; Junichiro Yoshimoto (APSIPA, 2020)

Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. - Wenjun Bai; Tomoki Tokuda; Okito Yamashita; Junichiro Yoshimoto (BIBM, 2020)

Multiple-view clustering for correlation matrices based on Wishart mixture model. - Tomoki Tokuda; Okito Yamashita; Junichiro Yoshimoto (CoRR, 2020)

Semi-Supervised Estimation of Driving Behaviors Using Robust Time-Contrastive Learning. - Takuma Kuroki; Osamu Shouno; Junichiro Yoshimoto (APSIPA ASC, 2021)

Leveraging Longitudinal Lifelog Data Using Survival Models for Predicting Risk of Relapse among Patients with Depression in Remission. - Felan Carlo C. Garcia; Ayumi Hirao; Aran Tajika; Toshi A. Furukawa; Kazushi Ikeda; Junichiro Yoshimoto (EMBC, 2021)

Toward the Perfect Stroke: A Multimodal Approach for Table Tennis Stroke Evaluation. - Panyawut Sri-Iesaranusorn; Felan Carlo C. Garcia; Francis Tiausas; Supatsara Wattanakriengkrai; Kazushi Ikeda; Junichiro Yoshimoto (ICMU, 2021)

Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training. - Takashi Nakano; Masahiro Takamura; Haruki Nishimura; Maro G. Machizawa; Naho Ichikawa; Atsuo Yoshino; Go Okada; Yasumasa Okamoto; Shigeto Yamawaki; Makiko Yamada; Tetsuya Suhara; Junichiro Yoshimoto (NeuroImage, 2021)

Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization. - Tomoki Tokuda; Okito Yamashita; Junichiro Yoshimoto (Neural Networks, 2021)

Temporal Attention for Robust Multiple Object Pose Tracking. - Zhongluo Li; Junichiro Yoshimoto; Kazushi Ikeda (ICONIP (4), 2023)

Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. - Wenjun Bai; Okito Yamashita; Junichiro Yoshimoto (Neural Networks, 2023)

Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. - Chie Hieida; Tomoaki Yamamoto; Takatomi Kubo; Junichiro Yoshimoto; Kazushi Ikeda (Artif. Life Robotics, 2023)

Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution. - Zihao Yu; Mark Christian Guinto; Brian Godwin S. Lim; Renzo Roel P. Tan; Junichiro Yoshimoto; Kazushi Ikeda; Yasumi Ohta; Jun Ohta (Artif. Life Robotics, 2023)

Functionally specialized spectral organization of the resting human cortex. - Wenjun Bai; Okito Yamashita; Junichiro Yoshimoto (Neural Networks, 2025)

Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets. - Yuji Takahara; Yuto Kashiwagi; Tomoki Tokuda; Junichiro Yoshimoto; Yuki Sakai; Ayumu Yamashita; Toshinori Yoshioka; Hidehiko Takahashi; Hiroto Mizuta; Kiyoto Kasai; Akira Kunimitsu; Naohiro Okada; et al. (Neural Networks, 2025)