Python Representational Similarity Analysis (rsatoolbox) toolbox¶
The rsatoolbox is developed through a community effort by the labs of Nikolaus Kriegeskorte, Jörn Diedrichsen, Marieke Mur and Ian Charest. It was conceived during the RSA retreat 2019 in Blue Mountains, Ontario. The toolbox replaces the 2013 matlab version the toolbox of rsatoolbox previously at ilogue/rsatoolbox and reflects many of the new methodological developements.
Documentation¶
Contents:
- Toolbox overview
- Getting started
- Defining the data set
- Estimating dissimilarities
- Operations on RDMs
- Comparing RDMs
- Model Specification
- Model Fitting
- Model Evaluation and Inference
- Visualization
- References
- Demos
- Getting started exercise for RSA3.0
- Dataset objects in rsatoolbox
- Estimating dissimilarities
- Visualising RDMs with the 92 images dataset
- Annotated RDM plots
- Demo on unbalanced designs
- Temporal RSA
- RSA on MEG data with MNE python
- EEG Demo
- Searchlight for RSA
- How to get an average RDM from a stack of partial RDMs
- rsatoolbox reference