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EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes.

, , and . IJCNN, page 1-7. IEEE, (2018)

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Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data., , and . Evol. Syst., 9 (3): 195-211 (2018)EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes., , and . IJCNN, page 1-7. IEEE, (2018)Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke., , , , , , and . Cogn. Comput., 14 (6): 2187-2202 (2022)Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine., , and . ICONIP (4), volume 9950 of Lecture Notes in Computer Science, page 645-653. (2016)A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics., , , , , , and . Frontiers Digit. Health, (2021)Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 28 (4): 887-899 (2017)Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture, , , and . Scientific Reports, 8 (1): 8912-- (2018)Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study., , , , , and . IJCNN, page 1-8. IEEE, (2020)Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment., , , , , , and . Cogn. Comput., 15 (4): 1273-1299 (2023)Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning., , , , , , , , and . Sensors, 23 (2): 902 (January 2023)