Lecture

Constraining neuron models with experimental data

Description

This lecture delves into constraining neuron models with experimental data, focusing on levels of abstraction, multi-compartment Hodgkin-Huxley models, and important datasets for constraints like morphology, ion channels, kinetics, and distributions. The instructor emphasizes the importance of deriving parameters from experimental data to build realistic neuron models.

In MOOCs (4)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_gffdjoo1

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Ontological neighbourhood

Biology

Cell biology: Neurotransmission

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