Syncopy - Systems Neuroscience Computing in Python

Mönke, Gregor

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Syncopy - Systems Neuroscience Computing in Python

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Mönke, Gregor
Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society;

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Mönke_Gregor_-_Syncopy.pdf
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GregorMoenke.mp4
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Citation

Mönke, G. (2022). Syncopy - Systems Neuroscience Computing in Python. Talk presented at MPG-Workshop 2022 "Future Opportunities for Software in Research". Plön. 2022-05-12 - 2022-05-13.

Cite as: https://hdl.handle.net/21.11116/0000-000B-1F34-9

Abstract

Syncopy (www.syncopy.org) is aimed to be a completely open source, user-friendly yet powerful data analysis suite for the Neurosciences. It is developed in Python and makes extensive use of distributed computing via Dask, and achieves low memory footprints by using on-disc hdf5 data structures in the backend per default. For our users, we supply highly abstracted frontend functions, which allow using the same analysis code irrespective of whether the code is run on their local machines or on an HPC cluster. We aim to interface with existing data formats (e.g. Neurodata Without Borders, NWB) and community tools (e.g. Fieldtrip), and foster reproducibility by creating and preserving a lot of meta-information during processing.