John McLinden
Orcid: 0000-0002-1475-575X
According to our database1,
John McLinden
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Comput. Biol. Medicine, February, 2024
Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme.
Comput. Biol. Medicine, January, 2024
fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification.
Eng. Appl. Artif. Intell., 2024
2023
A dynamical graph-based feature extraction approach to enhance mental task classification in brain-computer interfaces.
Comput. Biol. Medicine, February, 2023
Automating visual feedback in H-reflex operant conditioning studies: Feasibility and first steps.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI.
Neuroinformatics, 2022
2021
A Graph-Based Feature Extraction Algorithm Towards a Robust Data Fusion Framework for Brain-Computer Interfaces.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Graph-based Recurrence Quantification Analysis of EEG Spectral Dynamics for Motor Imagery-based BCIs.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2019
Multimodal Evaluation of Mental Workload Using a Hybrid EEGfNIRS Brain-Computer Interface System<sup>*</sup>.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019