Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -18,14 +18,4 @@
18	18	**Level**: advanced(%%) **Type**: user documentation
19	19
20	20	SPADE is a method to detect repeated spatio-temporal activity patterns in parallel spike train data that occur in excess to chance expectation. In this tutorial, we will use SPADE to detect the simplest type of such patterns, synchronous events that are found across a subset of the neurons considered.
21		-=== [[The Unitary Events Analysis>>https://elephant.readthedocs.io/en/latest/tutorials/unitary_event_analysis.html||rel=" noopener noreferrer" target="_blank"]] ===
22	22
23		-**Level**: advanced(%%) **Type**: user documentation
24		-
25		-The Unitary Event analysis detects coordinated spiking activity that occurs significantly more often than predicted by the firing rates of neurons alone. It’s therefore superior to simple statistics. This tutorial will show you how to use this analysis in Elephant.
26		-=== [[Gaussian Process Factor Analysis (GPFA)>>https://elephant.readthedocs.io/en/latest/tutorials/gpfa.html||rel=" noopener noreferrer" target="_blank"]] ===
27		-
28		-**Level**: advanced(%%) **Type**: user documentation
29		-
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		-