Einevoll, GT, Destexhe, A, Diesmann, M et al. (7 more authors) (2019) The Scientific Case for Brain Simulators. Neuron, 102 (4). pp. 735-744. ISSN 0896-6273
Abstract
A key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research projects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging the scales between the neuron and system levels in the brain, and why a set of brain simulators based on neuron models at different levels of biological detail should therefore be developed. To allow for systematic refinement of candidate network models by comparison with experiments, the simulations should be multimodal in the sense that they should predict not only action potentials, but also electric, magnetic, and optical signals measured at the population and system levels.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, Elsevier Inc. This is an author produced version of an article published in Neuron. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | brain simulation; neuron; network; model; simulation; simulator |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EU - European Union 785907 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Mar 2019 11:23 |
Last Modified: | 22 May 2020 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.neuron.2019.03.027 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143939 |
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Filename: ScientificCaseForBrainSimulations-Preprint.pdf
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