Changes for page Elephant Tutorials
Last modified by denker on 2025/04/09 07:02
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... ... @@ -7,7 +7,10 @@ 7 7 (% style="color:#4e5f70" %)Interactive video tutorials on 8 8 neuronal data analysis using Elephant 9 9 10 -(% style="color:#e74c3c" %)**Upcoming: CNS 2022** 10 + 11 +(% style="color:#e74c3c" %)Upcoming training event: 12 + 13 +(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for neural activity analysis 11 11 ))) 12 12 ))) 13 13 ... ... @@ -15,6 +15,18 @@ 15 15 ((( 16 16 (% class="col-xs-12 col-sm-8" %) 17 17 ((( 21 +== Upcoming training events == 22 + 23 +{{info}} 24 +**Intermediate Data Analysis in Python (Hybrid)** 25 +**Session: Using Neo and Elephant for neural activity analysis** 26 +Date: Tuesday, December 6, 2022 27 +Time: tba 28 +Registration & Agenda: tba 29 + 30 + 31 +{{/info}} 32 + 18 18 == A resource for kick-starting work with the Elephant library == 19 19 20 20 The Python library [[Electrophysiology Analysis Toolkit (Elephant)>>https://python-elephant.org||rel="noopener noreferrer" target="_blank"]] provides tools for the analysis of neuronal activity data, such as spike trains, local field potentials and intracellular data. In addition to providing a platform for sharing analysis codes from different laboratories, Elephant provides a consistent and homogeneous framework for data analysis, built on a modular foundation. The underlying data model is the Neo library, a framework which easily captures a wide range of neuronal data types and methods, including dozens of file formats and network simulation tools. A common data description, as provided by the Neo library, is essential for developing interoperable analysis workflows. ... ... @@ -58,10 +58,26 @@ 58 58 |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity. 59 59 |(% style="width:300px" %)Surrogate_techniques|(% style="width:267px" %)Peter Bouss|(% style="width:626px" %)Learn how to use different surrogate methods for spike trains to assist in formulating statistical null hypotheses in the presence of non-stationarity. 60 60 76 +== List of past events == 77 + 78 +((( 79 + 80 +November 10, 2022** Simulate with EBRAINS (Online)** 81 +Agenda: [[https:~~/~~/flagship.kip.uni-heidelberg.d/jss/HBPm?m=showAgenda&meetingID=242>>https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242]] 82 + 83 + 84 +July 1, 2022 **Satellite tutorial at the annual CNS meeting (Online)** 85 +Program: [[https:~~/~~/ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html>>https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html]] 86 + 87 + 88 +June 13-15, 2022 **BASSES workshop (Rome, Italy)** 89 +Program: [[https:~~/~~/www.humanbrainproject.eu/en/education/ebrains- workshops/basses/>>https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/]] 90 + 91 + 61 61 62 62 ))) 94 +))) 63 63 64 - 65 65 (% class="col-xs-12 col-sm-4" %) 66 66 ((( 67 67 {{box title="**Contents**"}}