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Cracking neural circuits for animal behavior

Primary supervisor

Tatsuo Sato

Neuroscience is becoming an exciting and multidisciplinary field, with a combination of biology, psychology, engineering, and large-data processing. This project is suitable for those who are motivated to apply data-processing skills to biological questions. Our research projects aim to investigate how neural circuits in the mouse brain work during a behavioral task; we visualize neural activity in vivo using advance fluorescent microscopy (two-photon imaging), while filming the behavior of mice. Animal movements need to be classified accurately and efficiently from the video, using deep learning (DeepLabCut), and to be linked to neural activity in vivo.

Student cohort

Double Semester

Required knowledge

The programming languages necessary are Python and MATLAB