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7	7	(% style="color:#4e5f70" %)Interactive video tutorials on
8	8	neuronal data analysis using Elephant
9	9
10		-
11		-(% style="color:#e74c3c" %)Upcoming training event:
12		-
13		-(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for neural activity analysis
	10	+(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
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18	18	(((
19	19	(% class="col-xs-12 col-sm-8" %)
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21		-== Upcoming training events ==
22		-
23		-{{info}}
24		-**Intermediate Data Analysis in Python (Hybrid)**
25		-**Session: Using Neo and Elephant for neural activity analysis**
26		-Date: Tuesday, December 6, 2022
27		-Time: tba
28		-Registration & Agenda: tba
29		-
30		-
31		-{{/info}}
32		-
33	33	== A resource for kick-starting work with the Elephant library ==
34	34
35	35	The Python library [[Electrophysiology Analysis Toolkit (Elephant)>>https://python-elephant.org||rel="noopener noreferrer" target="_blank"]] provides tools for the analysis of neuronal activity data, such as spike trains, local field potentials and intracellular data. In addition to providing a platform for sharing analysis codes from different laboratories, Elephant provides a consistent and homogeneous framework for data analysis, built on a modular foundation. The underlying data model is the Neo library, a framework which easily captures a wide range of neuronal data types and methods, including dozens of file formats and network simulation tools. A common data description, as provided by the Neo library, is essential for developing interoperable analysis workflows.
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73	73	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
74	74	|(% style="width:300px" %)Surrogate_techniques|(% style="width:267px" %)Peter Bouss|(% style="width:626px" %)Learn how to use different surrogate methods for spike trains to assist in formulating statistical null hypotheses in the presence of non-stationarity.
75	75
76		-== List of past events ==
77		-
78		-
79		-* (((
80		-November 10, 2022** Simulate with EBRAINS (Online)**
81		-Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
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83		-)))
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87	87	{{box title="**Contents**"}}