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

Neurotieteen ja lääketieteellisen tekniikan laitos

Max Planck Institute for Human Development
Johns Hopkins University
INRIA Saclay

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

2 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Artikkeli	09148
Sivumäärä	6
Julkaisu	Journal of Open Source Software
DOI - pysyväislinkit	https://doi.org/10.21105/joss.09148
Tila	Julkaistu - 12 jouluk. 2025
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

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

Pääsy asiakirjaan

10.21105/joss.09148Lisenssi: CC BY

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

Muut tiedostot ja linkit

https://mne.tools/mne-rsa

2 Päättynyt

van Vliet Marijn AT-kulut jatko: van Vliet Marijn AT-kulut jatko
van Vliet, M. (Vastuullinen johtaja), Rautiainen, L. (Projektin jäsen), Peret, I. (Projektin jäsen), Eremin, E. (Projektin jäsen) & Baral, S. (Projektin jäsen)
01/09/2024 → 31/08/2026
Projekti: RCF Academy Research Fellow: Research costs
Van Vliet Marijn AT-palkka: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems
van Vliet, M. (Vastuullinen johtaja)
01/09/2021 → 31/08/2026
Projekti: RCF Academy Research Fellow (new)

1 Software

MNE-RSA: Representational similarity analysis using MNE-Python datastructures
van Vliet, M., 21 huhtik. 2020
Tutkimustuotos: Taiteellinen julkaisu ja ICT-julkaisu › Software › Scientific

Siteeraa tätä

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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.",

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AU - Hulten, Annika

AU - Zhao, Yuanfang

AU - Höchenberger, Richard

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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.

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JO - Journal of Open Source Software

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M1 - 09148

ER -

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

Abstrakti

Rahoitus

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

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

Tutkimustuotos

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

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