Contribution of low-level image statistics to EEG decoding of semantic content in multivariate and univariate models with feature optimization-Reference-Cited by-同舟云学术

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Contribution of low-level image statistics to EEG decoding of semantic content in multivariate and univariate models with feature optimization

Published:2024-06 Issue: Volume:293 Page:120626
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Lützow Holm Eric,Fernández Slezak Diego^ORCID,Tagliazucchi Enzo

Funder

Osteo Science Foundation

ANID

Publisher

Elsevier BV

Reference68 articles.

1. “Decoding cognitive concepts from neuroimaging data using multivariate pattern analysis;Alizadeh;Neuroimage,2017

2. “Predictions drive neural representations of visual events ahead of incoming sensory information”;Blom;Proc. Natl. Acad. Sci. U S. A,2020

3. “Object representations in the human brain reflect the co-occurrence statistics of vision and language”;Bonner;Nat. Commun.,2021

4. “On the partnership between neural representations of object categories and visual features in the ventral visual pathway”;Bracci;Neuropsychologia,2017

5. “The Ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks”;Bracci;J. Neurosci.,2019

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