Computational Neuroscience Course

• resources: slides, notebooks, etc.
• compiled from Feb 2024 on
• inspiration and contribution: Renato Duarte, Gorka Zamora-López, Adrià Tauste-Campo, Andrea Insabato, Spase Petkoski, Martin Breyton, Damien Depannemaecker, Marmaduke Woodman, Meysam Hashemi

Basics about Python

• installing Python with Anaconda and Jupyter notebooks
• notebook basics_jupyter_python.pdf
• notebook basic_python.ipynb

create an environment with anaconda to run the notebooks

Install Anaconda distribution for Python: https://anaconda.org/

With the anaconda GUI, use the file environment.yml

Alternatively you can use the command line:

• create
• activate

Applied maths fundamentals

• linear algebra
• dynamic systems

Topics

Each topic comes with pdf slides and notebooks.

• neuronal dynamics
• slides and notebooks based on numpy and scipy libraries
• network theory
• slides and notebooks based on networkx library
• supervised learning
• slides and notebooks based on scikit-learn library
• unsupervised learning
• slides and notebooks based on scikit-learn library