cedalion

General Info

  • Introduction
  • Getting started
  • Community

⭐ Tutorial

  • Paper (in prep.)
  • Tutorial Notebooks

Package Features

  • Data structures and I/O
  • Signal processing
  • Modeling and Machine Learning
    • Models
      • cedalion.models.glm
      • cedalion.math.ar_model
    • Decomposition Methods
      • cedalion.sigdecomp.multimodal
    • Examples
      • Basic single trial fNIRS finger tapping classification
      • Example for ICA Source Extraction
      • GLM Basis Functions
      • GLM Fingertapping Example
      • GLM Illustrative Example
      • Statsmodels Methods Overview
      • Fitting a GLM with Gaussian Kernels
  • Diffuse optical tomography
  • Physiology
  • Plotting and Visualization
  • Synthetic Data

Reference

  • API reference
  • Bibliography
  • All examples

Project

  • Source code
  • Issues
  • Documentation
  • Changelog
cedalion
  • Modeling and Machine Learning
  • View page source

Modeling and Machine Learning

Models

cedalion.models.glm

Tools for describing fNIRS data with general linear models.

cedalion.math.ar_model

Decomposition Methods

cedalion.sigdecomp.multimodal

Multimodal signal decomposition methods.

Examples

Basic single trial fNIRS finger tapping classification
Example for ICA Source Extraction
GLM Basis Functions
GLM Fingertapping Example
GLM Illustrative Example
Statsmodels Methods Overview
Fitting a GLM with Gaussian Kernels
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