Last modified by jfioril1 on 2022/05/23 22:36
From version 63.1
edited by jurkusr
on 2020/04/15 15:33
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To version 75.1
edited by denker
on 2020/05/08 15:19
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1 -XWiki.jurkusr
1 +XWiki.denker
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4 4  (((
5 5  = Temporal Structure in Recorded Ensemble Activity =
6 6  
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**
7 +**Contribution to 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  
11 11  Implementation: Regimantas Jurkus^^1^^, Julien Fiorilli^^2^^, Pietro Marchesi^^2^^, Thijs Ruikes^^2^^
12 12  
13 -Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyriel Pennartz^^2^^
13 +Lead: Michael Denker^^1^^, Sonja Grün^^1,3^^, Cyriel Pennartz^^2^^
14 14  
15 15  ,,1) Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany,,
16 16  
17 17  ,,2) Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands,,
18 +
19 +,,3) Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany,,
18 18  )))
19 19  )))
20 20  
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22 22  (((
23 23  (% class="col-xs-12 col-sm-8" %)
24 24  (((
25 -== Demonstration of the analysis of electrophysiological data ==
27 +== Synopsis of this demonstration ==
26 26  
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.
29 +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.
29 29  
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.
31 +A detailed description is found in the interactive Jupyter notebook.
31 31  
32 32  == Executing the analysis notebook ==
33 33  
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50 50  
51 51  [[image:88x31.png]]
52 52  
53 -==
54 -Acknowledgments ==
55 55  
55 +== Acknowledgments ==
56 +
56 56  This open source software code was developed in part or in whole in the Human Brain Project, funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
57 57  
58 58  
Collaboratory.Apps.Collab.Code.CollabClass[0]
Description
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1 -This collaboration space is created to showcase examples of the progress made for the SP3 Use Case 3, highlight the tools used and outline the next steps to be taken.
1 +Contribution to 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