Junichiro Yoshimoto
Junichiro Yoshimoto
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Control of exploitation–exploration meta-parameter in reinforcement learning
S Ishii, W Yoshida, J Yoshimoto
Neural networks 15 (4-6), 665-687, 2002
The psychological impact of ‘mild lockdown’in Japan during the COVID-19 pandemic: a nationwide survey under a declared state of emergency
T Yamamoto, C Uchiumi, N Suzuki, J Yoshimoto, E Murillo-Rodriguez
International journal of environmental research and public health 17 (24), 9382, 2020
Identification of depression subtypes and relevant brain regions using a data-driven approach
T Tokuda, J Yoshimoto, Y Shimizu, G Okada, M Takamura, Y Okamoto, ...
Scientific reports 8 (1), 14082, 2018
A kinetic model of dopamine-and calcium-dependent striatal synaptic plasticity
T Nakano, T Doi, J Yoshimoto, K Doya
PLoS computational biology 6 (2), e1000670, 2010
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
IM de Abril, J Yoshimoto, K Doya
Neural Networks 102, 120-137, 2018
Toward probabilistic diagnosis and understanding of depression based on functional MRI data analysis with logistic group LASSO
Y Shimizu, J Yoshimoto, S Toki, M Takamura, S Yoshimura, Y Okamoto, ...
PloS one 10 (5), e0123524, 2015
Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression
K Yoshida, Y Shimizu, J Yoshimoto, M Takamura, G Okada, Y Okamoto, ...
PloS one 12 (7), e0179638, 2017
Model-based action planning involves cortico-cerebellar and basal ganglia networks
ASR Fermin, T Yoshida, J Yoshimoto, M Ito, SC Tanaka, K Doya
Scientific reports 6 (1), 31378, 2016
Remote control of neural function by X-ray-induced scintillation
T Matsubara, T Yanagida, N Kawaguchi, T Nakano, J Yoshimoto, ...
Nature communications 12 (1), 4478, 2021
Phosphorylation signals in striatal medium spiny neurons
T Nagai, J Yoshimoto, T Kannon, K Kuroda, K Kaibuchi
Trends in Pharmacological Sciences 37 (10), 858-871, 2016
Acrobot control by learning the switching of multiple controllers
J Yoshimoto, M Nishimura, Y Tokita, S Ishii
Artificial Life and Robotics 9, 67-71, 2005
Evidence for model-based action planning in a sequential finger movement task
A Fermin, T Yoshida, M Ito, J Yoshimoto, K Doya
Journal of motor behavior 42 (6), 371-379, 2010
Brain/MINDS beyond human brain MRI project: a protocol for multi-level harmonization across brain disorders throughout the lifespan
S Koike, SC Tanaka, T Okada, T Aso, A Yamashita, O Yamashita, ...
NeuroImage: Clinical 30, 102600, 2021
Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data
K Yoshida, J Yoshimoto, K Doya
BMC bioinformatics 18, 1-11, 2017
Application of reinforcement learning to balancing of acrobot
J Yoshimoto, S Ishii, M Sato
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on …, 1999
Enhancing multi-center generalization of machine learning-based depression diagnosis from resting-state fMRI
T Nakano, M Takamura, N Ichikawa, G Okada, Y Okamoto, M Yamada, ...
Frontiers in Psychiatry 11, 400, 2020
Derivatives of logarithmic stationary distributions for policy gradient reinforcement learning
T Morimura, E Uchibe, J Yoshimoto, J Peters, K Doya
Neural computation 22 (2), 342-376, 2010
Balance between dopamine and adenosine signals regulates the PKA/Rap1 pathway in striatal medium spiny neurons
X Zhang, T Nagai, RU Ahammad, K Kuroda, S Nakamuta, T Nakano, ...
Neurochemistry international 122, 8-18, 2019
Bayesian representation learning in the cortex regulated by acetylcholine
J Hirayama, J Yoshimoto, S Ishii
Neural Networks 17 (10), 1391-1400, 2004
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
T Tokuda, J Yoshimoto, Y Shimizu, G Okada, M Takamura, Y Okamoto, ...
PloS one 12 (10), e0186566, 2017
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