Neuron Models: Type I and Type II

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Analysis of a 2D neuron model: Constant input

Explores the behavior of a 2D neuron model with constant input.

Firing Threshold in 2D Models

Explores firing thresholds in 2D neuron models, pulse input, delayed spike initiation, and the FitzHugh-Nagumo model.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Computational Neuroscience: Biophysics & Modeling

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Threshold in the Hodgkin-Huxley Model

Explores the firing threshold in the Hodgkin-Huxley model and the behavior of neurons under different current inputs.

Biophysical Understanding of Neuronal Behavior

Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Compartmental Models: Active Dendrites

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Generalized Integrate-and-Fire Models

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Models and data

Covers the optimization of neuron models for coding and decoding in computational neuroscience.