— Neural Signals & Machine Learning Tools for Neural Data

Prerequisites & course information

Course Description: Select and use machine learning tools to analyze neural data. Knowledge of the definitions and fundamental principles of data analytics related to neural data including field potentials (EEG, iEEG, local field potentials, EMG) and single neuron or muscle action potentials. Neural decoding/encoding, how to apply classifiers, regression and dimension reduction techniques, factor analysis and dynamic modeling. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter.