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Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods., , and . Complexity, 8 (4): 79-86 (2003)Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE., , , , and . Front. Comput. Neurosci., (2017)Spatially organized spike correlation in cat visual cortex., , , , and . Neurocomputing, 70 (10-12): 2112-2116 (2007)Can Spike Coordination Be Differentiated from Rate Covariation?, , and . Neural Computation, 20 (8): 1973-1999 (2008)Complexity distribution as a measure for assembly size and temporal precision., , and . Neural Networks, 23 (6): 705-712 (2010)Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data., , , , , and . Front. Neuroinform., (2018)Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains., , , , and . ICCS, volume 9717 of Lecture Notes in Computer Science, page 3-16. Springer, (2016)Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data., , and . Summer School on Neural Networks, volume 5286 of Lecture Notes in Computer Science, page 96-114. Springer, (2007)State-space analysis on time-varying correlations in parallel spike sequences., , , and . ICASSP, page 3501-3504. IEEE, (2009)New algorithms for finding approximate frequent item sets., , , and . Soft Comput., 16 (5): 903-917 (2012)