Last modified by jfioril1 on 2022/05/23 22:36

From version 65.1
edited by denker
on 2020/04/21 15:38
Change comment: There is no comment for this version
To version 74.1
edited by denker
on 2020/05/07 14:22
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -4,7 +4,7 @@
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  
... ... @@ -22,12 +22,11 @@
22 22  (((
23 23  (% class="col-xs-12 col-sm-8" %)
24 24  (((
25 -== Demonstration of the analysis of electrophysiological data ==
25 +== 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.
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.
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.
29 +A detailed description is found in the interactive Jupyter notebook.
31 31  
32 32  == Executing the analysis notebook ==
33 33  
Collaboratory.Apps.Collab.Code.CollabClass[0]
Description
... ... @@ -1,1 +1,1 @@
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