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Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis

We propose a subject-aware contrastive learning deep fusion neural network framework for effectively classifying subjects’ confidence levels in the perception of visual stimuli. The framework, called WaveFusion, is composed of lightweight convolutional neural networks for per-lead time–frequency ana...

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Detalles Bibliográficos
Autores principales: Briden, Michael, Norouzi, Narges
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600301/
https://www.ncbi.nlm.nih.gov/pubmed/37402000
http://dx.doi.org/10.1007/s00422-023-00967-8