189 related articles for article (PubMed ID: 35704992)
1. A Bayesian-optimized design for an interpretable convolutional neural network to decode and analyze the P300 response in autism.
Borra D; Magosso E; Castelo-Branco M; Simões M
J Neural Eng; 2022 Jul; 19(4):. PubMed ID: 35704992
[No Abstract] [Full Text] [Related]
2. Decoding movement kinematics from EEG using an interpretable convolutional neural network.
Borra D; Mondini V; Magosso E; Müller-Putz GR
Comput Biol Med; 2023 Oct; 165():107323. PubMed ID: 37619325
[TBL] [Abstract][Full Text] [Related]
3. A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision.
Borra D; Fantozzi S; Magosso E
Front Hum Neurosci; 2021; 15():655840. PubMed ID: 34305550
[TBL] [Abstract][Full Text] [Related]
4. Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination.
Borra D; Fantozzi S; Magosso E
Neural Netw; 2020 Sep; 129():55-74. PubMed ID: 32502798
[TBL] [Abstract][Full Text] [Related]
5. Motor decoding from the posterior parietal cortex using deep neural networks.
Borra D; Filippini M; Ursino M; Fattori P; Magosso E
J Neural Eng; 2023 May; 20(3):. PubMed ID: 37130514
[No Abstract] [Full Text] [Related]
6. Regional-Asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children With Resting-State EEG.
Hu W; Jiang G; Han J; Li X; Xie P
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():200-211. PubMed ID: 38145528
[TBL] [Abstract][Full Text] [Related]
7. Eliminating or Shortening the Calibration for a P300 Brain-Computer Interface Based on a Convolutional Neural Network and Big Electroencephalography Data: An Online Study.
Gao W; Huang W; Li M; Gu Z; Pan J; Yu T; Yu ZL; Li Y
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():1754-1763. PubMed ID: 37030734
[TBL] [Abstract][Full Text] [Related]
8. Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization.
Farahat A; Reichert C; Sweeney-Reed CM; Hinrichs H
J Neural Eng; 2019 Oct; 16(6):066010. PubMed ID: 31416059
[TBL] [Abstract][Full Text] [Related]
9. Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.
Kwon OY; Lee MH; Guan C; Lee SW
IEEE Trans Neural Netw Learn Syst; 2020 Oct; 31(10):3839-3852. PubMed ID: 31725394
[TBL] [Abstract][Full Text] [Related]
10. EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces.
Lawhern VJ; Solon AJ; Waytowich NR; Gordon SM; Hung CP; Lance BJ
J Neural Eng; 2018 Oct; 15(5):056013. PubMed ID: 29932424
[TBL] [Abstract][Full Text] [Related]
11. Knowledge-driven feature component interpretable network for motor imagery classification.
Niu X; Lu N; Kang J; Cui Z
J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 34942608
[No Abstract] [Full Text] [Related]
12. Decoding and interpreting cortical signals with a compact convolutional neural network.
Petrosyan A; Sinkin M; Lebedev M; Ossadtchi A
J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33524962
[No Abstract] [Full Text] [Related]
13. Interpretable functional specialization emerges in deep convolutional networks trained on brain signals.
Hammer J; Schirrmeister RT; Hartmann K; Marusic P; Schulze-Bonhage A; Ball T
J Neural Eng; 2022 May; 19(3):. PubMed ID: 35421857
[No Abstract] [Full Text] [Related]
14. An efficient deep learning framework for P300 evoked related potential detection in EEG signal.
Havaei P; Zekri M; Mahmoudzadeh E; Rabbani H
Comput Methods Programs Biomed; 2023 Feb; 229():107324. PubMed ID: 36586179
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.
Mayor Torres JM; Medina-DeVilliers S; Clarkson T; Lerner MD; Riccardi G
Artif Intell Med; 2023 Sep; 143():102545. PubMed ID: 37673554
[TBL] [Abstract][Full Text] [Related]
16. Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces.
Gao W; Yu T; Yu JG; Gu Z; Li K; Huang Y; Yu ZL; Li Y
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1047-1057. PubMed ID: 34033543
[TBL] [Abstract][Full Text] [Related]
17. IENet: a robust convolutional neural network for EEG based brain-computer interfaces.
Du Y; Liu J
J Neural Eng; 2022 Jun; 19(3):. PubMed ID: 35605585
[No Abstract] [Full Text] [Related]
18. Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks.
Bang JS; Lee MH; Fazli S; Guan C; Lee SW
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3038-3049. PubMed ID: 33449886
[TBL] [Abstract][Full Text] [Related]
19. Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features.
Aellen FM; Göktepe-Kavis P; Apostolopoulos S; Tzovara A
J Neurosci Methods; 2021 Dec; 364():109367. PubMed ID: 34563599
[TBL] [Abstract][Full Text] [Related]
20. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
Aghdam MA; Sharifi A; Pedram MM
J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]