9.014 Quantitative Methods and Computational Models in Neurosciences
Provides theoretical background and practical skills needed to analyze and model neurobiological observations at the molecular, systems and cognitive levels. Develops an intuitive understanding of mathematical tools and computational techniques which students apply to analyze, visualize and model research data using MATLAB programming. Topics include linear systems and operations, dimensionality reduction (e.g., PCA), Bayesian approaches, descriptive and generative models, classification and clustering, and dynamical systems. Limited to 18; priority to current BCS Graduate students
This class has no prerequisites.
Lecture occurs 11:00 AM to 12:00 PM on Wednesdays in 46-3015.
This class counts for a total of 12 credits.
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