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2	2	(((
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5		-= My Collab's Extended Title =
	5	+= Elephant Tutorial Space =
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7		-My collab's subtitle
	7	+Video tutorials on data analysis using Elephant
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9	9	)))
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15		-= What can I find here? =
	15	+= The Elephant and =
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17		-* Notice how the table of contents on the right
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	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.
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	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]]).
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21	21	= Who has access? =
22	22
23	23	Describe the audience of this collab.