fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification-Reference-Cited by-同舟云学术

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fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification

Published:2024-11 Issue: Volume:137 Page:109256
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Pandey P.,McLinden J.^ORCID,Rahimi N.^ORCID,Kumar C.,Shao M.,Spencer K.M.^ORCID,Ostadabbas S.,Shahriari Y.^ORCID

Funder

National Science Foundation

University of Rhode Island

Publisher

Elsevier BV

Reference125 articles.

1. Merging fNIRS-EEG brain monitoring and Body motion capture to distinguish Parkinsons disease;Abtahi;IEEE Trans. Neural Syst. Rehabil. Eng.,2020

2. Multiview contrastive learning for unsupervised domain adaptation in brain-computer interfaces;Asgarian;IEEE Trans. Instrum. Meas.,2024

3. Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces;Aydin;Comput Methods Programs Biomed,2020

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