Surprise In Somesthesis

Code accompanying the paper 'Neural surprise in somatosensory Bayesian learning'

Authors: Sam Gijsen*, Miro Grundei*, Robert Tjarko Lange, Dirk Ostwald, Felix Blankenburg

* Equal contribution

/models/ in python3 with dependencies:

/analysis/ in MATLAB with dependencies:

• SPM12

Repository Structure

NeuralSurpriseInSomesthesis
├── models: The compared learning models
    +- cat_dir.py: Dirichlet-Categorical model
    +- hmm.py: Hidden Markov model
    ├── utils: Helper files
        +- helpers.py: Define helper functions for loading files, visualization and post-processing
├── analysis: Various scripts used for EEG analysis
    +- sbl_ffx.m: fixed-effects (FFX) Bayesian model selection
    +- sbl_rfx.m: random-effects (RFX) Bayesian model selection
    +- sbl_modelrecovery_ffx.m: FFX model recovery using simulations
    +- sbl_modelrecovery_rfx.m: RFX model recovery using simulations
├── README.md: Documentation
├── requirements.txt: Dependencies