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3.2 Correlated spike trains

This lecture (9/15) is part of the Computational Modeling of Neuronal Plasticity Course that aims to teach users how to build a mathematical model of a neuron, its inputs, and its neuronal plasticity mechanisms, by writing your own Python program. This lecture provides users with a brief video introduction to the concepts that serves as a companion to the lecture notes and solution figures.

Authors: Florence I. Kleberg and Prof. Jochen Triesch.

Topics covered in this lesson
  • Correlated spike trains
Introduction (86.83 KB)
Lecture notes (151.45 KB)
  • Experience with Python programming language
  • Previous lectures in the series