Reconstruction and simulation strategies

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Modeling the electrical activity of the neuron

Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.

Action Potentials and Electrical Excitability

Explores the generation and propagation of action potentials in neurons, including the historical significance of Hodgkin & Huxley's work.

Computational Neuroscience: Biophysics

Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.

Theory of Decision Dynamics

Explores decision dynamics in computational neuroscience, focusing on competitive models and effective 2-dimensional interactions between populations.

Neural Cell Membrane Dynamics

Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.

Biopotential Generation: Neuron and Resting Potential

Explores biopotential generation, neuron structure, resting potential, and membrane properties.

Membrane Potential: Electrical Properties of Neurons

Covers membrane potential, its measurement, and the equations governing ionic movement in neurons.

Reversal potential and Nernst equation

Explores the reversal potential and Nernst equation in computational neuroscience, focusing on ion channels and neuron biophysics.

Action Potentials: Mechanisms and Propagation

Explains the mechanisms of action potentials and their propagation in neurons, focusing on ion channels and the role of myelination.