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Module 3: Computational Models

This module introduces computational neuroscience by simulating neurons according to the AdEx model. You will learn about generative modeling, dynamical systems, and F-I curves. The MATLAB code introduces live scripts and functions.

Course Features
Tutorials
Code / Datasets
Exercises
Videos
Lessons of this Course
1
1
Duration:
8:21

This lesson provides an introduction to biologically detailed computational modelling of neural dynamics, including neuron membrane potential simulation and F-I curves. 

2
2
Duration:
13:11

This lesson introduces users to MATLAB live scripts; interactive documents that combine MATLAB code with formatted text, equations, and images in a single environment. 

3
3
Duration:
22:01

In this lesson, users learn how to use MATLAB to build an adaptive exponential integrate and fire (AdEx) neuron model. 

4
4
Duration:
11:20

In this lesson, users learn about the practical differences between MATLAB scripts and functions, as well as how to embed their neuronal simulation into a callable function.  

5
5
Duration:
20:39

This lesson teaches users how to generate a frequency-current (F-I) curve, which describes the function that relates the net synaptic current (I) flowing into a neuron to its firing rate (F).