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T. Martin McGinnity
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Publications
- 2022
- [c151]Vahid Saranirad, Shirin Dora, T. M. McGinnity, Damien Coyle:
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. IJCNN 2022: 1-7 - 2021
- [c147]Vahid Saranirad, T. M. McGinnity, Shirin Dora, Damien Coyle:
DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification. IJCNN 2021: 1-6 - 2015
- [j73]Xingfeng Li, Elizabeth G. Kehoe, Thomas Martin McGinnity, Damien Coyle, Arun L. W. Bokde:
Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task. Brain Connect. 5(1): 60-67 (2015) - [j70]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques. Neurocomputing 170: 161-167 (2015) - 2014
- [j62]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 25(2): 278-288 (2014) - [j61]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
EEG-Based Mobile Robot Control Through an Adaptive Brain-Robot Interface. IEEE Trans. Syst. Man Cybern. Syst. 44(9): 1278-1285 (2014) - 2013
- [j58]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity:
A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. Neuroinformatics 11(1): 105-118 (2013) - 2011
- [j46]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, Habib Benali:
A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis. IEEE Trans. Medical Imaging 30(7): 1365-1380 (2011) - [c81]Damien Coyle, Jhonatan Garcia, Abdul Rehman Satti, T. Martin McGinnity:
EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game. CCMB 2011: 88-94 - [c80]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
A self-organising fuzzy neural network with locally recurrent self-adaptive synapses. EAIS 2011: 1-8 - [c72]Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle, T. Martin McGinnity:
EEG denoising with a recurrent quantum neural network for a brain-computer interface. IJCNN 2011: 1583-1590 - 2010
- [j44]Damien Coyle, T. Martin McGinnity, Girijesh Prasad:
Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing. Biomed. Signal Process. Control. 5(3): 196-204 (2010) - [j40]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, David R. Watson, Habib Benali:
A least angle regression method for fMRI activation detection in phase-encoded experimental designs. NeuroImage 52(4): 1390-1400 (2010) - [c57]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition. IJCNN 2010: 1-8 - [c56]Damien Coyle, Abdul Rehman Satti, T. Martin McGinnity:
Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface. IJCNN 2010: 1-8 - 2009
- [j37]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1458-1471 (2009) - 2008
- [c42]Damien Coyle, T. Martin McGinnity, Girijesh Prasad:
A multi-class brain-computer interface with SOFNN-based prediction preprocessing. IJCNN 2008: 3696-3703 - 2006
- [c36]Damien Coyle, Thomas Martin McGinnity, Girijesh Prasad:
Creating a Nonparametric Brain-Computer Interface with Neural Time-Series Prediction Preprocessing. EMBC 2006: 2183-2186 - [c32]Damien Coyle, Girijesh Prasad, Thomas Martin McGinnity:
Enhancing Autonomy and Computational Efficiency of the Self-Organizing Fuzzy Neural Network for a Brain Computer Interface. FUZZ-IEEE 2006: 2270-2277 - 2005
- [j20]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
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(19): 3141-3151 (2005)
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