Poster (After Call)

FZJ-2022-05435

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png RateML: A Code Generation Tool for Brain Network Model

van der Vlag, M. (Corresponding author)FZJ*

2022

Please use a persistent id in citations: http://hdl.handle.net/2128/32938

Abstract: Recent studies on consciousness[1-4] make use of The Virtual Brain[5] simulator to explore hypothesis based on theoretical claims and experimental data. TVB is a whole-brain simulator, making use of dynamical models under constriction of biologically realistic connectivity, allowing users to relate brain structure to activity. In order to simplify model creation for TVB, a tool called RateML can be utilized. This tools enables users to create a model by transforming a high-level XML file to either a Python model to be used in the regular simulator and a Compute Unified Device Architecture model and simulator object suited for extreme parameters space exploration making use of the highly parallel architecture of the GPU.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
3. ICEI - Interactive Computing E-Infrastructure for the Human Brain Project (800858) (800858)
4. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)

Appears in the scientific report 2022

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Database coverage:

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