In preparation
Nishikawa, K., Kanai, R, Ward J., Hamada, H.T., Development of an English version of the Japanese version of epistemic curiosity scale.
Nemoto, K., Kudo, S., Ueda, K., Shirosaki, S. Nomura, A., Weidener, L., Hamada, H.T. The dawn of Decentralized Science (DeSci) in Japan: Values and principles.
Takagi, S. & Hamada, H.T. AI and management.
Submitted
Preprint
Hamada, H.T., Ippei Fujisawa, Genji Kawakita, Yuki Yamada, Measuring How LLMs Internalize Human Psychological Dimensions. [Preprint]
[under review]
Nishida, S., Hamada, H.T., Niikawa, T., Miyahara, K., Neural correlates of phenomenological attitude toward perceptual experience. [Preprint]
査読付き論文/Book Chapter
14. [accepted] Hamada, H.T., Harada, Y., (2025). Alignment with Psychological Concept Network. The International Conference on Neural Information Processing (ICONIP) 2025. [Preprint]
13. Supke, M., Schäfer, S., Yamada, M., Hamada, H. T., Wessa, M., & Lieb, K. (2025). Positive Mental States and Their Relation to Psychosocial Resources: Protocol of a Systematic Review Focusing on Cultural Moderators. BMJ Open 15:e103821. doi: 10.1136/bmjopen-2025-103821 [Preprint]
12. Tadahiro Taniguchi, Takagi, S., Otsuka, J., Hayashi, Y., and Hamada, H.T. 2025. Collective Predictive Coding as Model of Science: Formalizing Scientific Activities towards Generative Science. Royal Society Open Science. 12: 241678 doi:10.1098/rsos.241678 [Preprint]
11. Hamada H.T.*, Abe Y., Takata N., Taira M, Tanaka F.K. and Doya K*. (2024) Optogenetic activation of dorsal raphe serotonin neurons induces brain-wide activation. Nat Commun 15, 4152. https://doi.org/10.1038/s41467-024-48489-6 [Press] [Preprint] [Tweets] [Dataset] [Codes]
10. Oka T, Takashima K, Ueda K, Mori Y, Sasaki K, Hamada HT, Yamaga M, and Yamada Y. (2023) Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing. F1000Research, 12:877 https://doi.org/10.12688/f1000research.130188.2
9. Hata, J., ...., Hamada, H.T. et al., (2023) Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range. Scientific Data 10, 221. https://doi.org/10.1101/2022.09.21.508952
8. Youssef, M., Hamada, H.T. et al., (2022) Tob1 is a key effector in hippocampal-mediated acute stress response. Translational Psychiatry 12, 302. https://doi.org/10.1038/s41398-022-02078-7
7. Niikawa, T., Miyahara, K.*, Hamada, H.T., Nishida, S. (2022) Functions of Consciousness: Conceptual Clarification. Neuroscience of Consciousness, 2022 (1), niac006. https://doi.org/10.1093/nc/niac006
6. Hamada, H.T., Kanai, R. AI agents for facilitating social interactions and wellbeing. AAAI 2022 Spring Symposia. https://ceur-ws.org/Vol-3276/
5. Hamada, H.T., Matsuyoshi, D., Kanai, R., (2021) Gray Matter Analysis of MRI Images: Introduction to Current Research Practice. In: Della Sala, S. (Ed.), Encyclopedia of Behavioral Neuroscience, vol. 1. Elsevier, pp. 84–96. https://dx.doi.org/10.1016/B978-0-12-819641-0.00163-8.
4. Niikawa, T.*, Miyahara, K., Hamada, H.T., Nishida, S. (2020) A new experimental phenomenological method to explore the subjective features of psychological phenomena: its application to binocular rivalry. Neuroscience of Consciousness, 2020 (1), niaa018. https://doi.org/10.1093/nc/niaa018
3. Abe, Y.*, Takata, N., Sakai, Y., Hamada, H.T., Hiraoka Y., Aida, T., Tanaka, K., Le Bihan, D., Doya, K., and Tanaka, K.F. (2020) Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model. NeuroImage. 223. https://doi.org/10.1016/j.neuroimage.2020.117318
2. Miyahara, K.*, Niikawa T., Hamada, H.T., Nishida, S. (2020) Developing a Short-term Phenomenological Training Program: A Report of Methodological Lessons. New Ideas in Psychology. 58. https://doi.org/10.1016/j.newideapsych.2020.100780
1. Tsukada H.*, Hamada H., Nakae K., Ishii H., Hata J., Okano H., and Doya K. (2018) Analysis of Structure-Function Relationship Using a Whole-Brain Dynamic Model Based on MRI Images of the Common Marmoset. Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_12