Wiki source code of Elephant Tutorials

Version 4.2 by denker on 2021/02/01 16:57

author	version	line-number	content
		1	(% class="jumbotron" %)
		2	(((
		3	(% class="container" %)
		4	(((
		5	= Elephant Tutorial Space =
		6
		7	Video tutorials on data analysis using Elephant
		8	)))
		9	)))
		10
		11	(% class="row" %)
		12	(((
		13	(% class="col-xs-12 col-sm-8" %)
		14	(((
		15	= The Elephant and =
		16
		17	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.
		18
		19	In this space, we provide hands on video tutorials based on Jupyter notebooks on performing various types of data analysis based on the dataset published at [[https:~~/~~/gin.g-node.org/INT/multielectrode_grasp>>https://gin.g-node.org/INT/multielectrode_grasp]] (for details cf. Brochier et al (2018) Scientific Data 5, 180055. [[https:~~/~~/doi.org/10.1038/sdata.2018.55>>url:https://doi.org/10.1038/sdata.2018.55]]).
		20
		21	= Who has access? =
		22
		23	Describe the audience of this collab.
		24	)))
		25
		26
		27	(% class="col-xs-12 col-sm-4" %)
		28	(((
		29	{{box title="Contents"}}
		30	{{toc/}}
		31	{{/box}}
		32
		33
		34	)))
		35	)))