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Keiji MIURA

Assistant Professor
Graduate School of Information Sciences, Tohoku University

Research Theme

Application of information geometry to computational neuroscience

When animal behaviors and brain activities continue to change dynamically, conventional methods for stationary data analysis cannot be applied successfully. This research proposal aims to develop a mathematical method for extracting invariant information from nonstationary data by using the geometric "projection". For example, this proposal attempts to read from the neural activities animalsf characteristics such as a decision bias, which is interesting from the point of medical application, rather than the time-dependent motor activities accompanying the decision.

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