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.
Module 3: Computational Models
Course Features
Tutorials
Code / Datasets
Exercises
Videos
Lessons of this Course
1
1
Duration:
8:21
Speaker:
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
Speaker:
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
Speaker:
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
Speaker:
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
Speaker:
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).
