TY  - JOUR
AU  - Stella, Alessandra
AU  - Quaglio, Pietro
AU  - Torre, Emiliano
AU  - Grün, Sonja
TI  - 3d-SPADE: Significance Evaluation of Spatio-Temporal Patterns of Various Temporal Extents
JO  - Biosystems
VL  - 185
SN  - 0303-2647
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2019-04571
SP  - 104022
PY  - 2019
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:31449837
UR  - <Go to ISI:>//WOS:000493212900008
DO  - DOI:10.1016/j.biosystems.2019.104022
UR  - https://juser.fz-juelich.de/record/864994
ER  -