Theory of Decision Dynamics

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

Modeling the electrical activity of the neuron

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

Action Potentials and Electrical Excitability

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

Membrane Potential: Electrical Properties of Neurons

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

Reconstruction and simulation strategies

Explores reconstruction and simulation strategies in Simulation Neuroscience, emphasizing building components, workflows, validation, neuron diversity, microcircuit anatomy, and virtual tissue volumes.

Computational Neuroscience: Biophysics

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

Neural Cell Membrane Dynamics

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

Reversal potential and Nernst equation

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

Biopotential Generation: Neuron and Resting Potential

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

Neuronal Signaling: Action Potentials and Conduction

Covers the terminology, generation, and conduction of action potentials in neuronal signaling, along with bioelectric signals and synaptic currents.