Still an Ineffective Method With supertrials/ERPs-Comments on "decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features"

A recent paper claims that a newly proposed method classifies EEG data recorded from subjects viewing ImageNet stimuli better than two prior methods. However, the analysis used to support that claim is based on confounded data. We repeat the analysis on a large new dataset that is free from that con...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-11, Vol.45 (11), p.1-3
Hauptverfasser:	Bharadwaj, Hari M, Wilbur, Ronnie B, Siskind, Jeffrey Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blanking Brain - physiology brain-computer interface Convolution EEG Electroencephalography Electroencephalography - methods Evoked Potentials - physiology human vision Humans Machine Learning neuroimaging neuroscience object classification Signal Processing, Computer-Assisted Signal to noise ratio Statistical methods Support vector machines Three-dimensional displays Training
Online-Zugang:	Volltext
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