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

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