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NeuroCAPs

  • User Guide
  • API
  • Tutorials
  • Contributing
  • Changelog
  • User Guide
  • API
  • Tutorials
  • Contributing
  • Changelog

Section Navigation

  • Tutorial 1: Preparing BOLD Data for Co-Activations Patterns (CAPs) Analysis
  • Tutorial 2: Performing CAPs Analysis
  • Tutorial 3: Cross-Task and Cross-Session Data Merging for Unified CAPs Analysis
  • Tutorial 4: Standardizing Timeseries Data Within Runs
  • Tutorial 5: Changing Dtype of Timeseries Data
  • Tutorial 6: Generating Transition Probability Matrices
  • Tutorial 7: Defining Custom Parcellations
  • Tutorial 8: End-to-End CAPs Analysis Workflow
  • Tutorials

Tutorials#

Tutorials are available for all classes and functions in NeuroCAPs.

Note

Most examples use simulated data (except for Tutorial 8)

See also

Notebook demos using either simulated data or data obtained from OpenNeuro can be found on GitHub.

Tutorial 1: Preparing BOLD Data for Co-Activations Patterns (CAPs) Analysis
Tutorial 2: Performing CAPs Analysis
Tutorial 3: Cross-Task and Cross-Session Data Merging for Unified CAPs Analysis
Tutorial 4: Standardizing Timeseries Data Within Runs
Tutorial 5: Changing Dtype of Timeseries Data
Tutorial 6: Generating Transition Probability Matrices
Tutorial 7: Defining Custom Parcellations
Tutorial 8: End-to-End CAPs Analysis Workflow

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Tutorial 1: Preparing BOLD Data for Co-Activations Patterns (CAPs) Analysis

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