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@ARTICLE{Stella:864994,
      author       = {Stella, Alessandra and Quaglio, Pietro and Torre, Emiliano
                      and Grün, Sonja},
      title        = {3d-{SPADE}: {S}ignificance {E}valuation of
                      {S}patio-{T}emporal {P}atterns of {V}arious {T}emporal
                      {E}xtents},
      journal      = {Biosystems},
      volume       = {185},
      issn         = {0303-2647},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2019-04571},
      pages        = {104022},
      year         = {2019},
      abstract     = {The 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.},
      cin          = {INM-6},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-6-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      DFG project 238707842 - Kausative Mechanismen mesoskopischer
                      Aktivitätsmuster in der auditorischen
                      Kategorien-Diskrimination (238707842) / DFG project
                      322093511 - Kognitive Leistung als Ergebnis koordinierter
                      neuronaler Aktivität in unreifen präfrontal-hippokampalen
                      Netzwerken (322093511) / GRK 2416 - GRK 2416:
                      MultiSenses-MultiScales: Neue Ansätze zur Aufklärung
                      neuronaler multisensorischer Integration (368482240)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 /
                      G:(GEPRIS)238707842 / G:(GEPRIS)322093511 /
                      G:(GEPRIS)368482240},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31449837},
      UT           = {WOS:000493212900008},
      doi          = {10.1016/j.biosystems.2019.104022},
      url          = {https://juser.fz-juelich.de/record/864994},
}