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東京大学国際高等研究所ニューロインテリジェンス国際研究機構 特任研究員
Email: doi.eizaburo [AT] mail.u-tokyo.ac.jp
My overarching research goal is to better understand human experiences and conditions. What exactly are our undeniable subjective experiences—such as seeing, hearing, feeling, and emotions—in terms of physical variables and their transformations? How do our brains make sense of raw sensory data that is ambiguous, cluttered, multimodal, and constantly incoming? How do we interact with an environment that is dynamic, uncertain, and sometimes so challenging that prior experiences are of little use? How is an immense amount of information about the environment stored in our brains, whether innate or learned, and how does it guide our behavior when needed? What causes our minds to go awry, and what interventions can be taken? To address these questions, I leverage multidisciplinary approaches that integrate machine learning, psychology, biophysics, and neuroscience. I develop models based on principles that not only explain data but also function more generally, even in engineering settings. The “theory-experiment closed-loop” is fundamental to my work, allowing theoretical insights to inform experiments and vice versa.
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