Last modified by jfioril1 on 2022/05/23 22:36
From version 49.1
edited by jfioril1
on 2020/04/15 14:25
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To version 68.1
edited by denker
on 2020/04/27 09:13
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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 -To be discussed Author order, contributions,...:
10 -
11 11  Experiments: Julien Fiorilli^^2^^
12 12  
13 13  Implementation: Regimantas Jurkus^^1^^, Julien Fiorilli^^2^^, Pietro Marchesi^^2^^, Thijs Ruikes^^2^^
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24 24  (((
25 25  (% class="col-xs-12 col-sm-8" %)
26 26  (((
27 -== Demonstration of the analysis of electrophysiological data ==
25 +== Synopsis of this demonstration ==
28 28  
29 -A notebook that demonstrates how to apply the pipeline to a complex dataset.
30 -\\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.
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.
31 31  
32 -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.
29 +A detailed description is found in the interactive Jupyter notebook.
33 33  
34 34  == Executing the analysis notebook ==
35 35  
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47 47  
48 48  == License ==
49 49  
50 -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. Please note that the data in this Collab is preliminary and might therefore still contain inaccuracies in event specific timestamps.
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 +Please note that the data in this Collab is preliminary and might therefore still contain inaccuracies in specific event timestamps.
51 51  
52 -[[image:https://i.creativecommons.org/l/by/4.0/88x31.png||style="float:left"]]
50 +[[image:88x31.png]]
53 53  
54 -== ==
55 55  
56 56  == Acknowledgments ==
57 57  
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