Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.
Covers the Hodgkin and Huxley model for ion conductance and the ionic basis of the action potential.
Explores the physical basis of signal propagation in neurons, focusing on membrane potential setup and ion channels.
Explores DLVO theory for colloid stability and membrane potential, along with dynamic electrochemistry concepts like galvanic cells and Nernst's law.
Explores decision dynamics in computational neuroscience, focusing on competitive models and effective 2-dimensional interactions between populations.
