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Last modified by abonard on 2025/06/13 16:08
From version 27.1
edited by abonard
on 2025/06/03 11:03
Change comment: There is no comment for this version
To version 22.1
edited by abonard
on 2025/05/23 13:18
Change comment: There is no comment for this version

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28 28  **Level**: advanced(%%) **Type**: user documentation
29 29  
30 30  This tutorial illustrates the usage of the gpfa.GPFA() class implemented in elephant, through its applications to synthetic spike train data, of which the ground truth low-dimensional structure is known.
31 +=== [[Time-domain Granger Causality>>https://elephant.readthedocs.io/en/latest/tutorials/granger_causality.html||rel=" noopener noreferrer" target="_blank"]] ===
31 31  
33 +**Level**: advanced(%%) **Type**: user documentation
34 +
35 +The Granger causality is a method to determine functional connectivity between time-series using autoregressive modelling.
36 +=== [[Parallel>>https://elephant.readthedocs.io/en/latest/tutorials/parallel.html||rel=" noopener noreferrer" target="_blank"]] ===
37 +
38 +**Level**: advanced(%%) **Type**: user documentation
39 +
40 +elephant.parallel module provides a simple interface to parallelize multiple calls to any user-specified function. We showcase a typical use case in this tutorial which is calling a function many times with different parameters.
41 +