Speaker
Description
In this introductory level tutorial we will introduce participants to analyzing electrophysiological data from a neural network simulation using the tools Neo (https://neuralensemble.org/neo) for representing and handling the data and Elephant (https://python-elephant.org) for performing the actual analysis. We will cover the basic Neo data objects and how to load simulation outcomes into the framework. We then focus the analysis on obtaining and contrasting power spectral density estimates from spike train data using multiple approaches. For the tutorial, participants will be able to execute tutorials on their laptops with minimal installation effort using the EBRAINS Collaboratory.
Acknowledgements
This tutorial features work that has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement No. 945539 (Human Brain Project SGA3), the European Union’s Horizon Europe Programme under the Specific Grant Agreement No. 101147319 (EBRAINS 2.0 Project), the Ministry of Culture and Science of the State of North Rhine-Westphalia, Germany (NRW-network "iBehave", grant number: NW21-049), and the Joint Lab "Supercomputing and Modeling for the Human Brain."
| Preferred form of presentation | Workshop |
|---|---|
| Topic area | Interoperability, data and infrastructure |
| Keywords | data analysis, data models, spectral analysis |
| Speaker time zone | UTC+2 |
| I agree to the copyright and license terms | Yes |
| I agree to the declaration of honor | Yes |
