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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)

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Genetic Algorithms for the Design of Fuzzy Neural Networks., and . ICONIP, page 793-796. IOA Press, (1998)A two-stage methodology for gene regulatory network extraction from time-course gene expression data., , and . Expert Syst. Appl., 30 (1): 59-63 (2006)A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis., , and . APBC, volume 19 of CRPIT, page 199-202. Australian Computer Society, (2003)An evolving localised learning model for on-line image colour quantisation., and . ICIP (1), page 906-909. IEEE, (2001)Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks.. ICNN, page 2380-2383. IEEE, (1997)Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing., , , and . EANN (1), volume 383 of Communications in Computer and Information Science, page 233-242. Springer, (2013)Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data., and . ICONIP (2), volume 4985 of Lecture Notes in Computer Science, page 846-855. Springer, (2007)Method for Training a Spiking Neuron to Associate Input-Output Spike Trains., , , and . EANN/AIAI (1), volume 363 of IFIP Advances in Information and Communication Technology, page 219-228. Springer, (2011)Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO., , , , and . IJCNN, page 2969-2974. IEEE, (2011)Evolving spiking neural networks for spatio-and spectro-temporal pattern recognition.. IEEE Conf. of Intelligent Systems, page 27-32. IEEE, (2012)