John McLinden

Orcid: 0000-0002-1475-575X

According to our database1, John McLinden authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Investigation of electro-vascular phase-amplitude coupling during an auditory task.
Comput. Biol. Medicine, February, 2024

Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme.
Comput. Biol. Medicine, January, 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

Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks.
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

A Graph-Based Dynamical Characterization and Inference in Hybrid BCIs.
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

Towards a Single Trial fNIRS-based Brain-Computer Interface for Communication.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019


  Loading...