This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.3389/fninf.2021.766697 in citations.
Please use the identifier: http://hdl.handle.net/2128/30046 in citations.
ConGen a simulator-agnostic visual language for definition and generation of connectivity in large and multiscale neural networks
ConGen a simulator-agnostic visual language for definition and generation of connectivity in large and multiscale neural networks
An open challenge on the road to unraveling the brain's multilevel organization is establishing techniques to research connectivity and dynamics at different scales in time and space, as well as the links between them. This work focuses on the design of a framework that facilitates the generati...
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Personal Name(s): | Herbers, Patrick |
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Calvo, Iago / Diaz, Sandra (Corresponding author) / Robles Sanchez, Oscar David / Mata, Susana / Toharia, Pablo / Pastor, Luis / Peyser, Alexander / Morrison, Abigail / Klijn, Wouter (Corresponding author) | |
Contributing Institute: |
Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 Jülich Supercomputing Center; JSC |
Published in: | Frontiers in neuroinformatics, 15 (2022) S. 766697 |
Imprint: |
Lausanne
Frontiers Research Foundation
2022
|
DOI: |
10.3389/fninf.2021.766697 |
Document Type: |
Journal Article |
Research Program: |
Human Brain Project Specific Grant Agreement 3 Human Brain Project Specific Grant Agreement 2 JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) SimLab Neuroscience Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/30046 in citations.
An open challenge on the road to unraveling the brain's multilevel organization is establishing techniques to research connectivity and dynamics at different scales in time and space, as well as the links between them. This work focuses on the design of a framework that facilitates the generation of multiscale connectivity in large neural networks using a symbolic visual language capable of representing the model at different structural levels—ConGen. This symbolic language allows researchers to create and visually analyze the generated networks independently of the simulator to be used, since the visual model is translated into a simulator-independent language. The simplicity of the front end visual representation, together with the simulator independence provided by the back end translation, combine into a framework to enhance collaboration among scientists with expertise at different scales of abstraction and from different fields. On the basis of two use cases, we introduce the features and possibilities of our proposed visual language and associated workflow. We demonstrate that ConGen enables the creation, editing, and visualization of multiscale biological neural networks and provides a whole workflow to produce simulation scripts from the visual representation of the model. |