This is a set of example scripts that use the exp-info library to analyze
connectivity and information transfer between channels in neural recordings.
These are not well-polished tutorial scripts. These are derived from Chris's testing and pilot analysis code. They should still be useful as a starting point for new analysis scripts.
The scripts need libraries from the following ACC Lab GitHub repositories:
ConditionalEntropy(low-level information calculations): https://github.com/att-circ-contrl/ConditionalEntropyexp-info(high-level information calculations) https://github.com/att-circ-contrl/exp-infoexp-preproc(pre-processing and iteration routines) https://github.com/att-circ-contrl/exp-preprocexp-utils(miscellaneous support functions): https://github.com/att-circ-contrl/exp-utilsLoopUtil(miscellaneous support functions): https://github.com/att-circ-contrl/LoopUtil
The following external libraries are also needed:
- The Field Trip toolbox: https://github.com/fieldtrip/fieldtrip
- The Open Ephys "
analysis tools" library (for reading data saved in Open Ephys's format): https://github.com/open-ephys/analysis-tools - The
npy-matlablibrary (needed by Open Ephys's library; it comes with it).
datasets-- Abbreviated datasets read by the example scripts.example-1-synth-- Analysis script examining a synthetic dataset with known communication patterns (generated using theSynthRobinsonrepository). This looks for "routing states" (pairs of channels with directional information flow).libraries-- Symbolic links to the various libraries used by the scripts. These will only work on my system; modify them or add library paths to Matlab manually to run the scripts on your own system.
(This is the end of the file.)