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1		-XWiki.denker
	1	+XWiki.moritzkern

Content

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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	11	)))
12	12	)))
13	13
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15	15	(((
16	16	(% class="col-xs-12 col-sm-8" %)
17	17	(((
	18	+== Upcoming training events ==
	19	+
	20	+{{info}}
	21	+July 15, 2022 CNS 2023, 32nd Annual Computational Neuroscience Meeting (Leipzig)
	22	+Program: [[https:~~/~~/www.cnsorg.org/cns-2023-meeting-program>>https://www.cnsorg.org/cns-2023-meeting-program]]
	23	+{{/info}}
	24	+
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.
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57	57	Alessandra Stella|(% style="width:626px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
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.
	67	+|(% style="width:300px" %)NEST-Elephant|(% style="width:267px" %)(((
	68	+Jessica Mitchell
60	60
	70	+Moritz Kern
	71	+)))|(% style="width:626px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
	72	+
	73	+== List of past events ==
	74	+
	75	+
	76	+April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly**
	77	+Location: Forschungszentrum Juelich, Germany
	78	+
	79	+
	80	+(((
	81	+November 10, 2022** Simulate with EBRAINS (Online)**
	82	+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]]
	83	+
	84	+
	85	+July 1, 2022 **Satellite tutorial at the annual CNS meeting (Online)**
	86	+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]]
	87	+
	88	+
	89	+June 13-15, 2022 **BASSES workshop (Rome, Italy)**
	90	+Program: [[https:~~/~~/www.humanbrainproject.eu/en/education/ebrains- workshops/basses/>>https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/]]
	91	+
	92	+
61	61
62	62	)))
	95	+)))
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65	65	(% class="col-xs-12 col-sm-4" %)
66	66	(((
67	67	{{box title="**Contents**"}}