Lecture
Modeling: Principles and Applications
Description
This lecture covers the basics of modeling in systems neuroscience, including the mathematical representation of physical processes, different types of models such as statistical, network, and dynamic models, as well as the importance of experimental data analysis and model-driven predictions at various biological scales.
Official source
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