cedalion

General Info

  • Introduction
  • Getting started
  • Community

⭐ Tutorial

  • Paper (in prep.)
  • Tutorial Notebooks
    • S1: Head models and Forward Modelling
    • S2: Photogrammetric Optode Co-Registration
    • S3: Signal Processing
    • S4: Model-driven (GLM) Analysis
    • S5: DOT - Image Reconstruction
    • S6: Data-Driven (ML) Analysis
    • S7: Data Augmentation

Package Features

  • Data structures and I/O
  • Signal processing
  • Modeling and Machine Learning
  • Diffuse optical tomography
  • Physiology
  • Plotting and Visualization
  • Synthetic Data

Reference

  • API reference
  • Bibliography
  • All examples

Project

  • Source code
  • Issues
  • Documentation
  • Changelog
cedalion
  • Tutorial Notebooks
  • View page source

Tutorial Notebooks

The Cedalion tutorial paper provides seven fully executable notebooks that demonstrate core features:

S1: Head models and Forward Modelling
S2: Photogrammetric Optode Co-Registration
S3: Signal Processing
S4: Model-driven (GLM) Analysis
S5: DOT - Image Reconstruction
S6: Data-Driven (ML) Analysis
S7: Data Augmentation
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