Damien Coyle
Orcid: 0000-0002-4739-1040
According to our database1,
Damien Coyle
authored at least 90 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on id.loc.gov
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Bibliography
2024
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models.
NeuroImage, January, 2024
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.
CoRR, 2024
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment.
CoRR, 2024
R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm.
CoRR, 2024
2023
Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System.
Sensors, July, 2023
Correction to: Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers.
Multim. Tools Appl., March, 2023
A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease.
Int. J. Mach. Learn. Cybern., January, 2023
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction.
CoRR, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Decoding Motion Trajectories in an Upper Limb BCI: Linear Regression vs Deep Learning.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Proceedings of the IEEE/ACM International Workshop on Cloud Intelligence & AIOps, 2023
Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023
2022
A Bimodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined Speech.
IEEE Trans. Biomed. Eng., 2022
Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers.
Multim. Tools Appl., 2022
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models.
CoRR, 2022
Online 3D Motion Decoder BCI for Embodied Virtual Reality Upper Limb Control: A Pilot Study.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Signal Quality Assessment of a Wearable Electroencephalography (EEG) Device Built on a Flexible Printed Circuit: FlexEEG.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
A Hybrid Multi-Objective Teaching Learning-Based Optimization Using Reference Points and R2 Indicator.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
R2-HMEWO: Hybrid multi-objective evolutionary algorithm based on the Equilibrium Optimizer and Whale Optimization Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Non-immersive Versus Immersive Extended Reality for Motor Imagery Neurofeedback Within a Brain-Computer Interfaces.
Proceedings of the Extended Reality - First International Conference, 2022
Proceedings of the Extended Reality - First International Conference, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Editorial: Advances in the Integration of Brain-Machine Interfaces and Robotic Devices.
Frontiers Robotics AI, 2021
DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG.
Sensors, 2020
2019
Decoding Imagined 3D Arm Movement Trajectories From EEG to Control Two Virtual Arms - A Pilot Study.
Frontiers Neurorobotics, 2019
Optimizing Layers Improves CNN Generalization and Transfer Learning for Imagined Speech Decoding from EEG.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019
2018
Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome.
NeuroImage, 2018
2017
Trends in BCI Research I: Brain-Computer Interfaces for Assessment of Patients with Locked-in Syndrome or Disorders of Consciousness.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 6, 2017
Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 5, 2017
Proceedings of the From Vision to Reality, 2017
2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
A hybrid ICA-wavelet transform for automated artefact removal in EEG-based emotion recognition.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques.
Neurocomputing, 2015
Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task.
Brain Connect., 2015
E3D hand movement velocity reconstruction using power spectral density of EEG signals and neural network.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Computer Games: AI, 2015
Classification effects on Motion-Onset Visual Evoked Potentials using commercially available video games.
Proceedings of the Computer Games: AI, 2015
2014
IEEE Trans. Syst. Man Cybern. Syst., 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Frontiers Comput. Neurosci., 2014
Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics.
Proceedings of the Advanced Computational Approaches to Biomedical Engineering, 2014
2013
Channel and Class Dependent Time-Series Embedding Using Partial Mutual Information Improves Sensorimotor Rhythm Based Brain-Computer Interfaces.
Proceedings of the Time Series Analysis, Modeling and Applications, 2013
IEEE Trans. Comput. Intell. AI Games, 2013
IEEE Trans. Comput. Intell. AI Games, 2013
A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis.
Neuroinformatics, 2013
Medical Biol. Eng. Comput., 2013
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease.
Neurocomputing, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013
2012
Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models.
IEEE Trans. Biomed. Eng., 2012
Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model.
J. Univers. Comput. Sci., 2012
Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics.
J. Comput. Neurosci., 2012
Int. J. Bioinform. Res. Appl., 2012
Adv. Hum. Comput. Interact., 2012
EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Learning to modulate sensorimotor rhythms with stereo auditory feedback for a brain-computer interface.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis.
IEEE Trans. Medical Imaging, 2011
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease.
Neural Networks, 2011
EEG denoising with a recurrent quantum neural network for a brain-computer interface.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A self-organising fuzzy neural network with locally recurrent self-adaptive synapses.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011
Self-paced brain-controlled wheelchair methodology with shared and automated assistive control.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011
EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011
Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011
2010
A least angle regression method for fMRI activation detection in phase-encoded experimental designs.
NeuroImage, 2010
IEEE Comput. Intell. Mag., 2010
Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing.
Biomed. Signal Process. Control., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition.
Proceedings of the International Joint Conference on Neural Networks, 2010
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model.
Proceedings of the International Joint Conference on Neural Networks, 2010
A Covariate Shift Minimisation Method to Alleviate Non-stationarity Effects for an Adaptive Brain-Computer Interface.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Neural network based auto association and time-series prediction for biosignal processing in brain-computer interfaces.
IEEE Comput. Intell. Mag., 2009
Spatio-Spectral & Temporal Parameter Searching using Class Correlation Analysis and Particle Swarm Optimization for a Brain Computer Interface.
Proceedings of the IEEE International Conference on Systems, 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2006
Intelligent preprocessing and feature extraction techniques for a brain-computer interface.
PhD thesis, 2006
Enhancing Autonomy and Computational Efficiency of the Self-Organizing Fuzzy Neural Network for a Brain Computer Interface.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Creating a Nonparametric Brain-Computer Interface with Neural Time-Series Prediction Preprocessing.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures.
EURASIP J. Adv. Signal Process., 2005