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v0.1.0 - Initial Release

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@orabe orabe released this 24 May 14:12
v0.1.0
58b4607

Initial public release of CaliBrain (v0.1.0)!

This version establishes the core foundation of CaliBrain, a Python package designed for simulating EEG/MEG data and benchmarking Brain Source Imaging (BSI) methods, with a focus on uncertainty estimation.

Core Components:

  • LeadfieldSimulator: For simulating leadfield matrices (developed by @orabe).
  • DataSimulator: For generating synthetic EEG/MEG data (developed by @orabe).
  • SourceEstimator: For estimating source activity, with initial support for the Gamma-MAP method (developed by @orabe).
  • UncertaintyEstimator: For estimating uncertainty in source activity (developed by @orabe).
  • Benchmark: A class for systematically benchmarking source estimation methods (developed by @orabe).
  • utils: A collection of utility functions (developed by @orabe).
  • vbfa.py: Implementing Variational Bayes Factor Analysis for noise learning (#2 by @AliHashemi-ai).
  • eLORETA_caliBrain.py: eLORETA implementation with posterior covariance matrix estimation (#3 by @IsmailHuseynov).

Contributors:

Full Changelog: https://github.com/braindatalab/CaliBrain/commits/v0.1.0

Contributors

AliHashemi-ai, orabe, and IsmailHuseynov
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