/steinmetz-macro-micro

MATLAB analysis framework of Steinmetz 2019 (https://www.nature.com/articles/s41586-019-1787-x) mouse Neuropixels data.

Primary LanguagePython

steinmetz-macro-micro

MATLAB analysis framework of Steinmetz 2019 (https://www.nature.com/articles/s41586-019-1787-x) mouse Neuropixels data.

Key features:

  • Binning, binarisation of sparse spike time data
  • Cross-correlation, correlation, simultaneous spike count functions
  • Cross-correlogram pipeline to identify connected neuron pairs.
  • Transition Probability Matrix estimator (built mostly by Angus Leung, Monash University).
  • Integrated Information Theory (https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003588) analysis, using PyPhi library in Python.