Last modified by jfioril1 on 2022/05/23 22:36
From version 72.1
edited by denker
on 2020/04/27 09:13
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To version 63.1
edited by jurkusr
on 2020/04/15 15:33
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Author
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1 -XWiki.denker
1 +XWiki.jurkusr
Content
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4 4  (((
5 5  = Temporal Structure in Recorded Ensemble Activity =
6 6  
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**
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  
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22 22  (((
23 23  (% class="col-xs-12 col-sm-8" %)
24 24  (((
25 -== Synopsis of this demonstration ==
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 -A detailed description is found in the interactive Jupyter 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  
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49 49  
50 50  [[image:88x31.png]]
51 51  
53 +==
54 +Acknowledgments ==
52 52  
53 -== Acknowledgments ==
54 -
55 55  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).
56 56  
57 57  
Collaboratory.Apps.Collab.Code.CollabClass[0]
Public
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1 -Yes
1 +No