Yusi Chen

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I’m a PhD candadiate in computational neuroscience, mentored by Dr.Terrence Sejnowski at Salk. My research focuses on causality detection in time-series data and modeling computation principles in neural circuits. Check out my latest network causality estimation algorithm: Dynamical Differential Covariance (DDC).

Besides lab research, I’m broadly interested in AI algorithms, theories (and puzzles). During the years, I accumulated pages of research notes (network dynamics, causality estimation, ICA algorithms) and side projects (Object recognition, SLAM, puzzle sovling!) and equivalently two M.S. degrees!

I’m posting them here so that they don’t have to go through the painful and lengthy review process to qualify as publications. If anyone is interested in these material, feel free to drop me an email (cyusi@ucsd.edu).

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