For the upcoming 2nd Elephant Workshop, please see here!
1st Elephant User Workshop
Accelerate Structured and Reproducible Data Analysis in Electrophysiology
4-6 November 2019 | Paris, France
FAQs & ALL YOU NEED TO KNOW
You have to expect the following expenses:
- Registration Fee (€ 40.00)
- Breakfast & Dinner
What we cover:
- Lunch & Coffee Breaks
- Up to 5 fee waivers*
* A limited number of fee waivers are available to participants who want to contribute with own data examples.
Participants can apply for fee waivers prior to the respective registration deadline by sending an email to the organisers (email@example.com).
Requests of female researchers will be appreciated and favored.
In recent years it has become clear that the rapid technological, methodological and theoretical advances in neuroscience pose a challenge for scientific reproducibility. The degree of complexity when working with data from electrophysiological experiments has reached a level where workflows for data and metadata acquisition, pre-processing, and subsequent analysis must be carefully planned, well structured, and their execution carefully tracked. Recent years have seen the development of tools to support such workflows, yet an active community, a vibrant exchange of ideas and hands-on training is required to bring these tools into laboratories while at the same time improving the tools through a process of co-design.
reading and manipulating electrophysiology data in Python using Neo 
analysis of such data using Elephant 
best practices for integrating metadata into your workflow to aid the analysis process
best practices for structuring of analysis results
tracking data analysis pipelines using the HBP Knowledge Graph 
collaboration and sharing using the HBP Collaboratory 
In the registration form, please state:
your interest in the course
the type of analysis work on electrophysiological data you are interested in (which type of data/experiment? which types of analysis?)
whether you would be willing to bring and share an example data set for analysis in the second part of the course, or have a publically available dataset in mind. If so, which type of data, and which data format is the data in?
HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/
HBP Collaboratory, https://collab.humanbrainproject.eu
Helpful Phython tutorials:
A Python Primer for Matlab Users, https://bastibe.de
Introduction to Phython, http://introtopython.org
Registration is closed.
Martina Schmalholz | Heidelberg University, Germany
Education Programme Office | Medical University Innsbruck, Austria
ABOUT THE VENUE
The Paris-Saclay Institute of Neuroscience
CNRS building 32
1 avenue de la Terrasse
91198 Gif-Sur-Yvette, France
The Paris-Saclay Institute of Neuroscience (Neuro-PSI) is dedicated to basic Neuroscience, at all scales of analysis, from molecule to cognition and from embryo to adult.
It is a joint Research Unit of the CNRS and Paris-Sud University (UMR9197), currently located in Gif-sur-Yvette and Orsay, 25km South to Paris.
It forms, with its sister Institute NeuroSpin (CEA Saclay), the NeuroSaclay Center promoting Neuroscience at the highest international standards within the Paris-Saclay University.
How to Access
Access by RER :
Take the subway (RER B, RATP) direction " Saint Remy lès Chevreuse ", to the station Gif-Sur-Yvette
Click here to have the map of the subway (RER B). Take the "Rue Alphonse Pécard" leaving the station fore-court in the direction of the centre of the village.
Turn left in front of church along the "Rue Neuve". Take the first street on the right (Avenue de la Terrasse) which brings you to the CNRS campus gateway.
Follow map above to building 32/33. Click here to see a map of the CNRS campus.
Access by car :
You can reach Gif by motorway CHARTRES-ORLEANS (F18 or N118), by main road N306, or the motorway A6 then A87. Click here to view the road from Paris.