| Control of exploitation–exploration meta-parameter in reinforcement learning S Ishii, W Yoshida, J Yoshimoto Neural networks 15 (4-6), 665-687, 2002 | 296 | 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 | 245 | 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 | 138 | 2018 |
| 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 | 107 | 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 | 103 | 2010 |
| Phosphoproteomics of the dopamine pathway enables discovery of Rap1 activation as a reward signal in vivo T Nagai, S Nakamuta, K Kuroda, S Nakauchi, T Nishioka, T Takano, ... Neuron 89 (3), 550-565, 2016 | 102 | 2016 |
| 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 | 90 | 2015 |
| 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 | 80 | 2016 |
| 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 | 74 | 2017 |
| 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 | 71 | 2021 |
| 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 | 63 | 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 | 58 | 2016 |
| 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 | 51 | 2010 |
| 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 | 49 | 2005 |
| 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 | 45 | 2017 |
| 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 | 35 | 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 | 35 | 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 | 34 | 2019 |
| 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 | 32 | 1999 |
| 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 | 30 | 2017 |
