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000864994 1001_ $$0P:(DE-Juel1)171932$$aStella, Alessandra$$b0
000864994 245__ $$a3d-SPADE: Significance Evaluation of Spatio-Temporal Patterns of Various Temporal Extents
000864994 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2019
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000864994 520__ $$aThe Spike Pattern Detection and Evaluation (SPADE) analysis is a method to find reoccurring spike patterns in parallel spike train data, and to determine their statistical significance. Here we introduce an extension of the original statistical testing procedure which explicitly accounts for the temporal duration of the patterns. The extension improves the performance in the presence of patterns with different durations, as here demonstrated by application to various synthetic data. We further introduce an implementation of SPADE in form of a sub-module of the Python library Elephant (ELEctroPHysiological ANalysis Toolkit). The code is made publicly available on GitHub, together with detailed documentation, tutorials, and the results presented here.
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000864994 536__ $$0G:(GEPRIS)322093511$$aDFG project 322093511 - Kognitive Leistung als Ergebnis koordinierter neuronaler Aktivität in unreifen präfrontal-hippokampalen Netzwerken (322093511)$$c322093511$$x3
000864994 536__ $$0G:(GEPRIS)368482240$$aGRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240)$$c368482240$$x4
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000864994 7001_ $$0P:(DE-Juel1)164108$$aQuaglio, Pietro$$b1$$eCorresponding author
000864994 7001_ $$0P:(DE-Juel1)145148$$aTorre, Emiliano$$b2
000864994 7001_ $$0P:(DE-Juel1)144168$$aGrün, Sonja$$b3
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