In preparation
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]
[submitted] Nishikawa, K., Kanai, Hamada, H.T., R, Ward J., Nishikawa, K., Kanai, Hamada, H.T., R, Ward J., Development of an English version of the Japanese version of epistemic curiosity scale. [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. Hamada, H.T., Harada, Y. (2026). Alignment with Psychological Concept Network. In: Taniguchi, T., et al. Neural Information Processing. ICONIP 2025. Lecture Notes in Computer Science, vol 16312. Springer, Singapore. doi:10.1007/978-981-95-4384-7_36 [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