Code and Repositories
Code for methods and models is available on the lab GitHub organization.
Downloads and Materials
Selected links to software, talks, and reference material used across the lab's dynamical-systems and neuroscience research.
Lecture Recordings
Lecture overviews are collected on the teaching page. Students of Heidelberg University can access lecture recordings via Moodle.
Recent Talks and Posters
On the difficulty of learning chaotic dynamics with RNNs
Learning interpretable recurrent neural networks
Book
Advanced Data Analysis in Neuroscience
Integrating Statistical and Computational Models — a graduate-level resource on linear/nonlinear statistical and ML methods for neuroscience time series.