Damien Coyle

Orcid: 0000-0002-4739-1040

According to our database1, Damien Coyle authored at least 87 papers between 2005 and 2024.

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

Timeline

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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

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

Decoding Neural Activity for Part-of-Speech Tagging (POS).
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

Welcome Message from the General Chairs and Technical Program Chairs.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Knowledge-based Intelligent System for IT Incident DevOps.
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

Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing.
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

A Comparative Analysis of State-of-the-Art Time Series Forecasting Algorithms.
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

Virtual Reality Enhances EEG-Based Neurofeedback for Emotional Self-regulation.
Proceedings of the Extended Reality - First International Conference, 2022

2021
A Hybrid Capsule Network for Hyperspectral Image Classification.
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

Classification of imagined spoken Word-Pairs using Convolutional Neural Networks.
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

Brain-Computer Interfacing with Emotion-Inducing imagery: a Pilot Study.
Proceedings of the From Vision to Reality, 2017

2016
Imagined 3D hand movement trajectory decoding from sensorimotor EEG rhythms.
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
Neuroengineering.
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

Interacting with multiple game genres using Motion Onset Visual Evoked Potentials.
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
EEG-Based Mobile Robot Control Through an Adaptive Brain-Robot Interface.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst., 2014

Compensating for synaptic loss in Alzheimer's disease.
J. Comput. Neurosci., 2014

Compensating for thalamocortical synaptic loss in Alzheimer's disease.
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

Games, Gameplay, and BCI: The State of the Art.
IEEE Trans. Comput. Intell. AI Games, 2013

Guest Editorial: Brain/neuronal - Computer game interfaces and interaction.
IEEE Trans. Comput. Intell. AI Games, 2013

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis.
Neuroinformatics, 2013

Sensorimotor learning with stereo auditory feedback for a brain-computer interface.
Medical Biol. Eng. Comput., 2013

Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease.
Neurocomputing, 2013

Unsupervised short-term covariate shift minimization for self-paced BCI.
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

Using acoustic sensors to discriminate between nasal and mouth breathing.
Int. J. Bioinform. Res. Appl., 2012

A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs.
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

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model.
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

United Kingdom and Republic of Ireland Chapter Report [Family Corner].
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

Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface.
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
A multi-class brain-computer interface with SOFNN-based prediction preprocessing.
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


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