Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 1.1
edited by denker
on 2021/02/01 08:51
Change comment: Collab created through API
To version 5.1
edited by denker
on 2021/02/01 17:05
Change comment: There is no comment for this version

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2 2  (((
3 3  (% class="container" %)
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5 -= My Collab's Extended Title =
5 += Elephant Tutorial Space =
6 6  
7 -My collab's subtitle
7 +Video tutorials on data analysis using Elephant
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9 9  )))
10 10  
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13 13  (% class="col-xs-12 col-sm-8" %)
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15 -= What can I find here? =
15 +== A resource for kick-starting work with the Elephant library ==
16 16  
17 -* Notice how the table of contents on the right
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19 -* to hold this page's headers
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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21 -= Who has access? =
19 +In this collaborative space, we provide hands on video tutorials based on Jupyter notebooks that showcase various types of data analysis, from simple to advanced. Most notebooks are based on a common 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]]). All video tutorials are approximately 30 minutes in length.
22 22  
23 -Describe the audience of this collab.
21 +== Access to the material ==
22 +
23 +To access the tutorials, check out the drive space of this Collab. Video are available for download in the (% style="color:#f39c12" %)videos(%%) section, whereas the corresponding Jupyter notebooks are available in the (% style="color:#f39c12" %)notebooks(%%) folder. Notebooks can either be run directly on the Collaboratory (currently limited to HBP affiliated members), or downloaded and run locally. For local execution, please use the provided (% style="color:#f39c12" %)requirements.txt(%%) file to generate an appropriate Python environment.
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