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Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems.

, , and . Neural Networks, (2013)

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A fuzzy neural approach to plasma disruption prediction in tokamak reactors., and . IJCNN, page 3463-3467. IEEE, (1999)Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches., , , and . EANN, 3, page 244-255. Springer, (2021)Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps., , , , , and . AII, page 159-173. (2022)Television Programs Classification via Deep Learning Approach Using SSMI-CNN., , and . AII, page 293-307. (2022)Erratum: Änalysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures"., , , and . Int. J. Neural Syst., (2013)Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors., , , , and . WIRN, page 383-389. Springer, (2004)Heuristic advances in identifying aftershocks in seismic sequences., , , , , and . Comput. Geosci., 35 (2): 245-254 (2009)Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures., , , and . Int. J. Neural Syst., (2012)Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmas.. ICNN, page 937-941. IEEE, (1995)On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data., , and . WILF, volume 2955 of Lecture Notes in Computer Science, page 119-126. Springer, (2003)