Junichiro Yoshimoto

According to our database, Junichiro Yoshimoto authored at least 37 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 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, May, 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

Temporal Attention for Robust Multiple Object Pose Tracking.

Zhongluo Li, Junichiro Yoshimoto, Kazushi Ikeda

Proceedings of the Neural Information Processing - 30th International Conference, 2023

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

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

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

Proceedings of the Thirteenth International Conference on Mobile Computing and Ubiquitous Network, 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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Semi-Supervised Estimation of Driving Behaviors Using Robust Time-Contrastive Learning.

Takuma Kuroki, Osamu Shouno, Junichiro Yoshimoto

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Multiple-view clustering for correlation matrices based on Wishart mixture model.

Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto

CoRR, 2020

Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information.

Wenjun Bai, Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

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

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Statistical analysis on characteristic whisker movements observed in reward processing.

Junichiro Yoshimoto, Jumpei Ozaki, Kohta Mizutani, Takashi Nakano, Kazushi Ikeda, Takayuki Yamashita

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

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

Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya

Neural Networks, 2018

2017

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

Kosuke Yoshida, Junichiro Yoshimoto, Kenji Doya

BMC Bioinform., 2017

2016

A reinforcement learning approach to the shepherding task using SARSA.

Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

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

JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

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

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013

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

2011

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method.

Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii

Intell. Autom. Soft Comput., 2011

2010

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

Takashi Nakano, Tomokazu Doi, Junichiro Yoshimoto, Kenji Doya

PLoS Comput. Biol., 2010

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya

Neural Comput., 2010

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

Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

A Generalized Natural Actor-Critic Algorithm.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Calcium Responses Model in Striatum Dependent on Timed Input Sources.

Takashi Nakano, Junichiro Yoshimoto, Jeff Wickens, Kenji Doya

Proceedings of the Artificial Neural Networks, 2009

2008

A New Natural Policy Gradient by Stationary Distribution Metric.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Robust Population Coding in Free-Energy-Based Reinforcement Learning.

Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

Proceedings of the Artificial Neural Networks, 2008

2007

Bayesian System Identification of Molecular Cascades.

Junichiro Yoshimoto, Kenji Doya

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors.

Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii

Neurocomputing, 2006

2005

Acrobot control by learning the switching of multiple controllers.

Junichiro Yoshimoto, Masaya Nishimura, Yoichi Tokita, Shin Ishii

Artif. Life Robotics, 2005

2004

Bayesian representation learning in the cortex regulated by acetylcholine.

Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii

Neural Networks, 2004

2003

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

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Control of exploitation-exploration meta-parameter in reinforcement learning.

Shin Ishii, Wako Yoshida, Junichiro Yoshimoto

Neural Networks, 2002

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference.

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato

Proceedings of the Artificial Neural Networks, 2002

2001

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

2000

On-Line EM Reinforcement Learning.

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000