Rebuttal to "Comments on 'Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features' "
Bharadwaj et al. (2023) present a comments paper evaluating the classification accuracy of several state-of-the-art methods using EEG data averaged over random class samples. According to the results, some of the methods achieve above-chance accuracy, while the method proposed in (Palazzo et al. 202...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 24. Dez., Seite 11540-11542 |
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| Auteur principal: | |
| Autres auteurs: | , , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Comment |
| Résumé: | Bharadwaj et al. (2023) present a comments paper evaluating the classification accuracy of several state-of-the-art methods using EEG data averaged over random class samples. According to the results, some of the methods achieve above-chance accuracy, while the method proposed in (Palazzo et al. 2020), that is the target of their analysis, does not. In this rebuttal, we address these claims and explain why they are not grounded in the cognitive neuroscience literature, and why the evaluation procedure is ineffective and unfair |
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| Description: | Date Completed 07.11.2024 Date Revised 03.01.2025 published: Print-Electronic CommentOn: IEEE Trans Pattern Anal Mach Intell. 2023 Nov;45(11):14052-14054. doi: 10.1109/TPAMI.2023.3292062. - PMID 37402186 Citation Status MEDLINE |
| ISSN: | 1939-3539 |
| DOI: | 10.1109/TPAMI.2024.3426296 |