1st Elephant User Workshop

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 [1]

• analysis of such data using Elephant [2]

• 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 [3]

• collaboration and sharing using the HBP Collaboratory [4]

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?

References:

1. Neo, https://neo.readthedocs.io

2. Elephant, https://elephant.readthedocs.io

3. HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ 

4. HBP Collaboratory, https://collab.humanbrainproject.eu

Helpful Phython tutorials:

1. A Python Primer for Matlab Users, https://bastibe.de

2. Introduction to Phython, http://introtopython.org

DRAFT AGENDA.

Registration is closed.