CBS - Toyota Collaboration Center

Research outputs

Journal Articles
  1. Chen, Y., Zhang, X., & Akaishi, R. (2023). The Association Between Different Digital Use and Young Adults’ Well-being.
  2. Nagase, A. M., Westbrook, A., Onoda, K., Morita, K., Kawagoe, T., Yamaguchi, S., Akaishi, R., & Hanajima, R. (2022). Expected Costs of Mental Efforts are Updated When People Exert Effort, not by Prospective Information. BioRxiv, 2022–2011.
  3. Fermin, A. S. R., Kiyonari, T., Matsumoto, Y., Takagishi, H., Li, Y., Kanai, R., Sakagami, M., Akaishi, R., Ichikawa, N., Takamura, M., & others. (2022). The neuroanatomy of social trust predicts depression vulnerability. Scientific Reports, 12(1), 16724.
  4. Badman, R. P., Nordström, R., Ueda, M., & Akaishi, R. (2022). Perceptions of social rigidity predict loneliness across the Japanese population. Scientific Reports, 12(1), 16073.
  5. Badman, R. P., Wang, A. X., Skrodzki, M., Cho, H.-C., Aguilar-Lleyda, D., Shiono, N., Yoo, S. B. M., Chiang, Y.-S., & Akaishi, R. (2022). Trust in Institutions, Not in Political Leaders, Determines Compliance in COVID-19 Prevention Measures within Societies across the Globe. Behavioral Sciences, 12(6), 170.
  6. Badman, R. P., Haruno, M., & Akaishi, R. (2021). Emergent prosocial behavior during dynamic human group formation. Available at SSRN 3992091.
  7. Badman, R. P., Wu, Y., Inukai, K., & Akaishi, R. (2021). Blessing or curse of democracy?: Current evidence from the covid-19 pandemic. ArXiv Preprint ArXiv:2105.10865.
  8. Badman, R. P., Hills, T. T., & Akaishi, R. (2020). Multiscale computation and dynamic attention in biological and artificial intelligence. Brain Sciences, 10(6), 396.
  9. Badman, R., Hills, T. T., & Akaishi, R. (2020). Navigating Uncertain Environments: Multiscale Computation in Biological and Artificial Intelligence.
  10. Nagase, A. M., Onoda, K., Foo, J. C., Haji, T., Akaishi, R., Yamaguchi, S., Sakai, K., & Morita, K. (2018). Neural mechanisms for adaptive learned avoidance of mental effort. Journal of Neuroscience, 38(10), 2631–2651.
  11. Eisenreich, B. R., Akaishi, R., & Hayden, B. Y. (2017). Control without controllers: Toward a distributed neuroscience of executive control. Journal of Cognitive Neuroscience, 29(10), 1684–1698.
  12. Akaishi, R., & Hoshi, E. (2017). Information seeking and simulation: Roles of attention in guiding a goal-directed behavior. BioRxiv, 104091.
  13. Wittmann, M. K., Kolling, N., Akaishi, R., Chau, B. K. H., Brown, J. W., Nelissen, N., & Rushworth, M. F. S. (2016). Predictive decision making driven by multiple time-linked reward representations in the anterior cingulate cortex. Nature Communications, 7(1), 12327.
  14. Akaishi, R., & Hayden, B. Y. (2016). A spotlight on reward. Neuron, 90(6), 1148–1150.
  15. Akaishi, R., Kolling, N., Brown, J. W., & Rushworth, M. (2016). Neural mechanisms of credit assignment in a multicue environment. Journal of Neuroscience, 36(4), 1096–1112.
  16. Akaishi, R., Umeda, K., Nagase, A., & Sakai, K. (2014). Autonomous mechanism of internal choice estimate underlies decision inertia. Neuron, 81(1), 195–206.
  17. Akaishi, R., Ueda, N., & Sakai, K. (2013). Task-related modulation of effective connectivity during perceptual decision making: dissociation between dorsal and ventral prefrontal cortex. Frontiers in Human Neuroscience, 7, 365.
  18. Akaishi, R., Morishima, Y., Rajeswaren, V. P., Aoki, S., & Sakai, K. (2010). Stimulation of the frontal eye field reveals persistent effective connectivity after controlled behavior. Journal of Neuroscience, 30(12), 4295–4305.
  19. Soga, R., Akaishi, R., & Sakai, K. (2009). Predictive and postdictive mechanisms jointly contribute to visual awareness. Consciousness and Cognition, 18(3), 578–592.
  20. Morishima, Y., Akaishi, R., Yamada, Y., Okuda, J., Toma, K., & Sakai, K. (2009). Task-specific signal transmission from prefrontal cortex in visual selective attention. Nature Neuroscience, 12(1), 85–91.

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