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A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

, , , , and . IEEE Trans. Biomed. Eng., 63 (9): 1830-1841 (2016)

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Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model., , and . EALS, page 73-80. IEEE, (2014)A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects., , , , and . IEEE Trans. Biomed. Eng., 63 (9): 1830-1841 (2016)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)Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data., , , , , , and . IEEE Trans. Fuzzy Syst., 31 (12): 4542-4552 (December 2023)EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes., , and . IJCNN, page 1-7. IEEE, (2018)Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment., , , , , , and . Cogn. Comput., 15 (4): 1273-1299 (2023)Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network., , , , and . Sensors, 21 (14): 4900 (2021)Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning., , , , , , , , and . Sensors, 23 (2): 902 (January 2023)Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia., , , , , , , , , and 6 other author(s). Neural Networks, (2021)Personalised modelling with spiking neural networks integrating temporal and static information., , , , , and . Neural Networks, (2019)