Last modified by jfioril1 on 2022/05/23 22:36
From version 73.1
edited by denker
on 2020/04/27 09:13
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To version 65.1
edited by denker
on 2020/04/21 15:38
Change comment: There is no comment for this version

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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