Lecture

Poisson Model: Rate Coding

Description

This lecture covers the Poisson model in computational neuroscience, focusing on rate coding and stochastic spiking. It explains the concepts of homogeneous and inhomogeneous Poisson processes, probability of firing, and interval distribution. The instructor discusses how variability in spike trains relates to noise and the neural code.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_r9oy1j1j

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Ontological neighbourhood

Biology

Neuroscience: Computational neuroscience

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