Comparison of Noise Models

Description

This lecture covers the comparison between diffusive noise and escape noise models in computational neuroscience. It discusses the representation of stochastic spike arrival, the ease of simulation and calculation, and the approximation between the two noise models. The lecture also explores the basis of modern model fitting methods and the implications for neuronal dynamics.

In MOOCs (2)

Instructor

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Official source

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

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Ontological neighbourhood

Biology

Neuroscience: Computational neuroscience

Information engineering

Signal processing: Digital image processing

Computer engineering

Computer graphics: Virtual reality

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