MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data

Marijn van Vliet; Stefan Appelhoff; Takao Shimizu; Egor Eremin; Annika Hulten; Yuanfang Zhao; Richard Höchenberger

doi:10.21105/joss.09148

MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data

Marijn van Vliet
, Stefan Appelhoff
, Takao Shimizu
, Egor Eremin
, Annika Hulten
, Yuanfang Zhao
, Richard Höchenberger

Department of Neuroscience and Biomedical Engineering

Max Planck Institute for Human Development
Johns Hopkins University
INRIA Saclay

Research output: Contribution to journal › Article › Scientific › peer-review

2 Downloads (Pure)

Abstract

MNE-RSA is a Python package for performing representational similarity analysis (RSA) on non-invasive measurements of brain activity, namely electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). It serves as an extension to MNE-Python, which is a comprehensive package for pre-processing EEG/MEG data and performing source estimation alongside implementing the many preprocessing steps required for RSA analysis. After preprocessing is done, MNE-RSA provides a straightforward way to perform the actual RSA on data that is loaded as MNE-Python datastructures.

Original language	English
Article number	09148
Number of pages	6
Journal	Journal of Open Source Software
DOIs	https://doi.org/10.21105/joss.09148
Publication status	Published - 12 Dec 2025
MoE publication type	A1 Journal article-refereed

Funding

Development of MNE-RSA was funded by the Research Council of Finland (grants #310988 and #343385 to M.v.V)

Keywords

MEG
RSA
software
Python

Access to Document

10.21105/joss.09148Licence: CC BY

MNE-RSA_Representational Similarity Analysis on EEG, MEG and fMRI dataFinal published version, 735 KBLicence: CC BY

Cite this

@article{e1de781c49f7431eb595e47af4353b69,

title = "MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data",

abstract = "MNE-RSA is a Python package for performing representational similarity analysis (RSA) on non-invasive measurements of brain activity, namely electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). It serves as an extension to MNE-Python, which is a comprehensive package for pre-processing EEG/MEG data and performing source estimation alongside implementing the many preprocessing steps required for RSA analysis. After preprocessing is done, MNE-RSA provides a straightforward way to perform the actual RSA on data that is loaded as MNE-Python datastructures.",

keywords = "MEG, RSA, software, Python",

author = "\{van Vliet\}, Marijn and Stefan Appelhoff and Takao Shimizu and Egor Eremin and Annika Hulten and Yuanfang Zhao and Richard H{\"o}chenberger",

year = "2025",

month = dec,

day = "12",

doi = "10.21105/joss.09148",

language = "English",

journal = "Journal of Open Source Software",

issn = "2475-9066",

publisher = "Open Journals",

}

TY - JOUR

T1 - MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data

AU - van Vliet, Marijn

AU - Appelhoff, Stefan

AU - Shimizu, Takao

AU - Eremin, Egor

AU - Hulten, Annika

AU - Zhao, Yuanfang

AU - Höchenberger, Richard

PY - 2025/12/12

Y1 - 2025/12/12

N2 - MNE-RSA is a Python package for performing representational similarity analysis (RSA) on non-invasive measurements of brain activity, namely electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). It serves as an extension to MNE-Python, which is a comprehensive package for pre-processing EEG/MEG data and performing source estimation alongside implementing the many preprocessing steps required for RSA analysis. After preprocessing is done, MNE-RSA provides a straightforward way to perform the actual RSA on data that is loaded as MNE-Python datastructures.

AB - MNE-RSA is a Python package for performing representational similarity analysis (RSA) on non-invasive measurements of brain activity, namely electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). It serves as an extension to MNE-Python, which is a comprehensive package for pre-processing EEG/MEG data and performing source estimation alongside implementing the many preprocessing steps required for RSA analysis. After preprocessing is done, MNE-RSA provides a straightforward way to perform the actual RSA on data that is loaded as MNE-Python datastructures.

KW - MEG

KW - RSA

KW - software

KW - Python

UR - https://mne.tools/mne-rsa

U2 - 10.21105/joss.09148

DO - 10.21105/joss.09148

M3 - Article

SN - 2475-9066

JO - Journal of Open Source Software

JF - Journal of Open Source Software

M1 - 09148

ER -

MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

van Vliet Marijn AT-kulut jatko: van Vliet Marijn AT-kulut jatko

Van Vliet Marijn AT-palkka: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems

MNE-RSA: Representational similarity analysis using MNE-Python datastructures

Cite this

MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

van Vliet Marijn AT-kulut jatko: van Vliet Marijn AT-kulut jatko

Van Vliet Marijn AT-palkka: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems

Research output

MNE-RSA: Representational similarity analysis using MNE-Python datastructures

Cite this