This day contains a real Neuromatch Academy tutorial converted from its original Jupyter notebook format into MyST Markdown. It demonstrates what production course content looks like in the new template.
The tutorial below was originally W2D3_Tutorial1: Linear Dynamical Systems from the NMA Computational Neuroscience course. All elements -- videos, exercises, solutions, interactive widgets, and feedback cells -- have been preserved and reformatted into MyST syntax.
Learning objectives¶
By the end of this tutorial you will be able to:
Simulate the trajectory of a dynamical system using forward Euler integration
Understand the behavior of one-dimensional linear dynamical systems
Understand the dynamics of two-dimensional linear systems using eigenvalues and eigenvectors
Interpret stream plots of two-dimensional systems
Schedule¶
| Tutorial | Topic | Duration |
|---|---|---|
| Tutorial 1 | Linear dynamical systems | 1 hour |