Introduction to Modelling Microcircuitry

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

Explores the organization and structure of the nervous system, including neurons, synapses, neurotransmitters, and brain functions.

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.

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

Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.

Focuses on identifying human cortical cell types using RNA-Seq data and discusses cell clustering, neuron mapping, and cell type diversity.

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

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