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7	7	(% style="color:#4e5f70" %)Interactive video tutorials on
8	8	neuronal data analysis using Elephant
9	9
10		-(% style="color:#e74c3c" %)Upcoming Sessions:
11		-
12		-(% style="color:#e74c3c" %)6.12.22 Intermediate data analysis in Python: Using Neo and Elephant for
13		-neural activity analysis
	10	+(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
14	14	)))
15	15	)))
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18	18	(((
19	19	(% class="col-xs-12 col-sm-8" %)
20	20	(((
21		-{{info}}
22		-== Intermediate Data Analysis in Python (Hybrid) ==
23		-
24		-**Using Neo and Elephant for neural activity analysis**
25		-
26		-=== Information ===
27		-
28		-Date: Tuesday, December 6, 2022
29		-
30		-Time: tba
31		-
32		-Registration & Agenda: tba
33		-
34		-
35		-{{/info}}
36		-
37	37	== A resource for kick-starting work with the Elephant library ==
38	38
39	39	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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77	77	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
78	78	|(% 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.
79	79
80		-== List of past events
81		- ==
82		-
83		-* (((
84		-November 10, 2022** Simulate with EBRAINS (Online)**
85		-Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
	61	+
86	86	)))
87		-)))
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89	89
90		-
91	91	(% class="col-xs-12 col-sm-4" %)
92	92	(((
93	93	{{box title="**Contents**"}}