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Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC.

, , , , and . MCSoC, page 189-196. IEEE Computer Society, (2014)

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Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model., , , and . ICANN (1), volume 7552 of Lecture Notes in Computer Science, page 645-652. Springer, (2012)Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion., , , and . Eng. Appl. Artif. Intell., 17 (8): 871-885 (2004)An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons., , , , and . Int. J. Neural Syst., 20 (6): 463-480 (2010)Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models., , and . IEEE Trans. Biomed. Eng., 59 (3): 890-896 (2012)A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization., , , , and . Frontiers Comput. Neurosci., (2010)Hybrid Intelligent Architectures using a Neurofuzzy Approach., , and . Advances in Computational Intelligence and Learning, page 147-158. Kluwer, (2002)Cost effectiveness issues in remote experimentation., , , and . SMC (5), page 4700-4704. IEEE, (2004)Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model., , and . CCMB, page 159-163. IEEE, (2011)A review of learning in biologically plausible spiking neural networks., , , , , and . Neural Networks, (2020)Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease., , , , and . Neurocomputing, (2013)