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Kernel Methods on Spike Train Space for Neuroscience: A Tutorial.

, , , , and . IEEE Signal Process. Mag., 30 (4): 149-160 (2013)

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On speeding up computation in information theoretic learning., and . IJCNN, page 2883-2887. IEEE Computer Society, (2009)Evaluating dependence in spike train metric spaces., , , , , and . IJCNN, page 2645-2652. IEEE, (2011)A conditional distribution function based approach to design nonparametric tests of independence and conditional independence., and . ICASSP, page 2066-2069. IEEE, (2010)A new nonparametric measure of conditional independence., , and . ICASSP, page 2981-2984. IEEE, (2009)Modelling-based experiment retrieval: a case study with gene expression clustering., , , , and . Bioinformatics, 32 (9): 1388-1394 (2016)Quantized mixture kernel least mean square., , and . IJCNN, page 4168-4174. IEEE, (2014)Exploration and retrieval of whole-metagenome sequencing samples., , , and . Bioinformatics, 30 (17): 2471-2479 (2014)Archetypal Analysis for Nominal Observations., and . IEEE Trans. Pattern Anal. Mach. Intell., 38 (5): 849-861 (2016)Robust EEG preprocessing for dependence-based condition discrimination., , , and . EMBC, page 1407-1410. IEEE, (2011)Online efficient learning with quantized KLMS and L1 regularization., , , and . IJCNN, page 1-6. IEEE, (2012)