Code & Data
Our lab has switched to Python and we host our code on the lab’s Github repo.
We believe in open science, open data, and collaboration over competition. Voytek has published a few Reviews/Perspectives on this topic:
- Voytek B, PLOS Computational Biology, The Virtuous Cycle of a Data Ecosystem
- Voytek B, Neuron, Social Media, Open Science, and Data Science Are Inextricably Linked
We’ve got a number of Jupyter notebook Tutorials on there for basic field potential analysis methods, a package for neural digital signal processing (neuroDSP), a package for different phase-amplitude coupling analysis tools (PACpy), and a package for Fitting Oscillations and One-Over-f (FOOOF).
We’ve also begun adding code and data (where possible and permitted) for our manuscripts. The list of papers for which these are available are below:
- Inferring synaptic excitation/inhibition balance from field potentials (PDF). Gao R, Peterson EJ, Voytek B. NeuroImage.
- Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson’s disease (PDF). Cole SR, van der Meij R, Peterson EJ, de Hemptinne C, Starr PA, Voytek B. J Neurosci.