4.1 Synaptic normalisation
4.1 Synaptic normalisation
This lecture (11/15) 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
- Synaptic normalisation
Documents
Introduction
(86.83 KB)
Lecture notes
(235.3 KB)
Solution figure 1
(25.97 KB)
Solution figure 2
(74.42 KB)
Prerequisites
- Experience with Python programming language
- Previous lectures in the series
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