An end-to-end 3D convolutional neural network for decoding attentive mental state
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Title
An end-to-end 3D convolutional neural network for decoding attentive mental state
Authors
Keywords
EEG, Attention, BCI, Deep learning, 3D convolutional neural network
Journal
NEURAL NETWORKS
Volume 144, Issue -, Pages 129-137
Publisher
Elsevier BV
Online
2021-08-20
DOI
10.1016/j.neunet.2021.08.019
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- (2019) O-Yeon Kwon et al. IEEE Transactions on Neural Networks and Learning Systems
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- (2018) Κostas Μ. Tsiouris et al. COMPUTERS IN BIOLOGY AND MEDICINE
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- (2018) Vernon Lawhern et al. Journal of Neural Engineering
- VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
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- Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
- (2018) Siavash Sakhavi et al. IEEE Transactions on Neural Networks and Learning Systems
- Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
- (2018) Jaeyoung Shin et al. Scientific Data
- Effectiveness of a Personalized Brain-Computer Interface System for Cognitive Training in Healthy Elderly: A Randomized Controlled Trial
- (2018) Si Ning Yeo et al. JOURNAL OF ALZHEIMERS DISEASE
- Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder
- (2018) Xing Qian et al. Translational Psychiatry
- Automatic seizure detection using three-dimensional CNN based on multi-channel EEG
- (2018) Xiaoyan Wei et al. BMC Medical Informatics and Decision Making
- Inter-subject transfer learning with end-to-end deep convolutional neural network for EEG-based BCI
- (2018) Fatemeh Fahimi et al. Journal of Neural Engineering
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- A deep learning scheme for mental workload classification based on restricted Boltzmann machines
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- (2013) Ning-Han Liu et al. SENSORS
- A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder
- (2012) Choon Guan Lim et al. PLoS One
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