Changes for page SGA2 SP3 UC003 - Temporal Structure in Recorded Ensemble Activity
Last modified by jfioril1 on 2022/05/23 22:36
Summary
-
Page properties (2 modified, 0 added, 0 removed)
-
Attachments (0 modified, 0 added, 1 removed)
-
Objects (0 modified, 0 added, 1 removed)
Details
- Page properties
-
- Author
-
... ... @@ -1,1 +1,1 @@ 1 -XWiki. denker1 +XWiki.jfioril1 - Content
-
... ... @@ -4,7 +4,7 @@ 4 4 ((( 5 5 = Temporal Structure in Recorded Ensemble Activity = 6 6 7 -** Contribution toUse Case SGA2-SP3-003: Pipeline for analyzing Temporal structure in recorded Ensemble Activity and related Systems Neuroscience data in association with behavior, cognitive processing and modeling**7 +**Use Case SGA2-SP3-003: Pipeline for analyzing Temporal structure in recorded Ensemble Activity and related Systems Neuroscience data in association with behavior, cognitive processing and modeling** 8 8 9 9 Experiments: Julien Fiorilli^^2^^ 10 10 ... ... @@ -22,11 +22,12 @@ 22 22 ((( 23 23 (% class="col-xs-12 col-sm-8" %) 24 24 ((( 25 -== Synopsisof thisdemonstration==25 +== Demonstration of the analysis of electrophysiological data == 26 26 27 -This notebook, aimed at experimental and computational neuroscientists, demonstrates the principles of performing analysis of activity data on a complex dataset using the Neo and Elephant tools. We demonstrate the advantage of a common and shared data representation format for a challenging and complex electrophysiology dataset. Also, we showcase the first part of a pipeline for analysing for population-level data, including parallel spiking activity, paired with and behavioural and cognitive state variables. 27 +A notebook that demonstrates how to apply the pipeline to a complex dataset. 28 +\\The aim of this note-book is twofold. Firstly, we aim to demonstrate the advantage of a common and shared data representation format for a challenging and complex electrophysiology dataset. The second aim is to showcase the first part of a pipeline for analysing for population-level data, including parallel spiking activity, paired with and behavioural and cognitive state variables. 28 28 29 - Adetaileddescription isfound in theinteractiveJupyter notebook.30 +This Collab is aimed at experimental and computational neuroscientists interested in the usage of the Neo and Elephant tools in performing data analysis of spiking data. 30 30 31 31 == Executing the analysis notebook == 32 32 ... ... @@ -44,11 +44,13 @@ 44 44 45 45 == License == 46 46 47 -All text and example data in this collab is licensed under under a [[Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License>>url:https://creativecommons.org/licenses/by-nc-nd/4.0/]]. Software code is licensed under [[a modified BSD license>>https://opensource.org/licenses/BSD-3-Clause]]. 48 +All text and example data in this collab is licensed under Creative Commons CC-BY 4.0 license. Software code is licensed under a modified BSD license. 49 + 48 48 Please note that the data in this Collab is preliminary and might therefore still contain inaccuracies in specific event timestamps. 49 49 50 -[[image:88x31.png]] 52 +[[image:https://i.creativecommons.org/l/by/4.0/88x31.png||style="float:left"]] 51 51 54 +== == 52 52 53 53 == Acknowledgments == 54 54
- 88x31.png
-
- Author
-
... ... @@ -1,1 +1,0 @@ 1 -XWiki.jurkusr - Size
-
... ... @@ -1,1 +1,0 @@ 1 -1.7 KB - Content
- XWiki.XWikiRights[3]
-
- Allow/Deny
-
... ... @@ -1,1 +1,0 @@ 1 -Allow - Levels
-
... ... @@ -1,1 +1,0 @@ 1 -view - Users
-
... ... @@ -1,1 +1,0 @@ 1 -XWiki.XWikiGuest