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7	7	(% style="color:#4e5f70" %)Interactive video tutorials on
8	8	neuronal data analysis using Elephant
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10		-(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
	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
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15	15	(((
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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	+
18	18	== A resource for kick-starting work with the Elephant library ==
19	19
20	20	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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58	58	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
59	59	|(% 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.
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62		-)))
	76	+== List of past events ==
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	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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67	67	{{box title="**Contents**"}}