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Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 4.2
edited by denker
on 2021/02/01 16:57
Change comment: There is no comment for this version
To version 2.1
edited by denker
on 2021/02/01 08:51
Change comment: There is no comment for this version

Summary

Details

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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= Elephant Tutorial Space =
5 += My Collab's Extended Title =
6 6  
7 -Video tutorials on data analysis using Elephant
7 +My collab's subtitle
8 8  )))
9 9  )))
10 10  
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13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
15 -= The Elephant and =
15 += What can I find here? =
16 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.
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
18 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 21  = Who has access? =
22 22  
23 23  Describe the audience of this collab.
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