Here you will find a collection of code and links for the hands-on workshop on machine learning in neuroscience taught by Edgar Y. Walker, as part of the FENS Summer School on 'Artificial and natural computations for sensory perception: what is the link?'.
Most importantly, you can launch the Jupyter notebook for the workshop in Colab by clicking on the badge below!
Student's copy of the notebook with exercises to be completed:
Instructor's copy with all exercises answered:
If you prefer to run this on your own machine and without using Colab, you can do so by using this repository content. Start by downloading/cloning this repository.
The repository is configured to work simply with docker-compose, so assuming you have Docker and docker-compose configured on your machine, all you'll have to do will be to navigate to the directory and run the following command:
$ docker-compose upYou can then navigate to http://localhost:8888 in your browser to access the Jupyter Lab server, properly configured.
If you prefer to not use Docker, then launch a Jupyter server and navigate to the Jupyter notebook Deep-Learning-in-Neuroscience.ipynb found in notebooks directory. You may have to adjust a few paths for your data download.
Big thanks to Daniel Sitonic in my lab, Zhuokun Ding from Baylor College of Medicine and Suhas Shrinivasan from the University of Göttigen for their immense help in preparing and testing the course material!