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Lecturer, Institute for Quantitative Biosciences, The University of Tokyo *Profile is at the time of the award.
2021Inamori Research GrantsBiology & Life sciences
Thank you very much for selecting me for the Inamori Research Grant. I will devote myself to make my research contribute to the understanding of the brain, the development of AI, and the integration of the brain and AI.
Animals and humans make choices based on uncertain sensory inputs. Our study investigated whether the mouse decisions are optimal by integrating the sensory inputs and prior knowledge of reward expectations. We analyzed the choice behavior of mice during a task with signal detection theory and reinforcement learning and found the sub-optimality of choices.
Akihiro Funamizu (2021) Integration of sensory evidence and reward expectation in mouse perceptual decision-making task with various sensory uncertainties. iScience 24(8), 102826. doi: 10.1016/j.isci.2021.102826
Biology & Life sciences