Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.
Explores reducing the Hodgkin-Huxley model to 2 dimensions by exploiting similarities between variables and discussing the nonlinear integrate-and-fire model.
Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.