Examples

Here are some common use cases for MNE-RSA and how you can use the API to achieve them.

Core RSA functionality

These examples cover the basics of creating representational dissimilarity matrices (RDMs) and performing representational similarity analysis (RSA) between them.

Construct a model RDM

Construct a model RDM

Using cross-validation when computing RDMs

Using cross-validation when computing RDMs

Compute RSA between RDMs

Compute RSA between RDMs

Sensor-Level RSA

These examples showcase how to perform RSA on sensor-level MEG data.

Sensor-level RSA using a searchlight

Sensor-level RSA using a searchlight

Plot sensor-level RDMs

Plot sensor-level RDMs

Sensor-level RSA using mixed sensor types

Sensor-level RSA using mixed sensor types

Source-Level RSA

These examples showcase how to perform RSA on source-level data.

Source-level RSA using a searchlight on fMRI data

Source-level RSA using a searchlight on fMRI data

Source-level RSA using ROI’s

Source-level RSA using ROI's

Source-level RSA using a searchlight on surface data

Source-level RSA using a searchlight on surface data

Source-level RSA using a searchlight on volumetric data

Source-level RSA using a searchlight on volumetric data

Tutorials

These three tutorials provide an in-depth introduction to representational similarity analysis (RSA) on MEG data. Together, they cover a complete RSA pipeline, starting with sensor-level analysis, then source-level analysis and finally group-level statistics.

Tutorial part 1: RSA on sensor-level MEG data

Tutorial part 1: RSA on sensor-level MEG data

Tutorial part 2: RSA on source-level MEG data

Tutorial part 2: RSA on source-level MEG data

Tutorial part 3: statistical analysis of group-level RSA results

Tutorial part 3: statistical analysis of group-level RSA results