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{"references": ["Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide, Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013) The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)", "M. Schirner, L. Domide, D. Perdikis, P. Triebkorn, L. Stefanovski, R. Pai, P. Popa, B. Valean, J. Palmer, C. Langford, A. Blickensd\u00f6rfer, M. van der Vlag, S. Diaz-Pier, A. Peyser, W. Klijn, D. Pleiter, A. Nahm, O. Schmid, M. Woodman, L. Zehl, J. Fousek, S. Petkoski, L. Kusch, M. Hashemi, D. Marinazzo, J.-F. Mangin, A. Fl\u00f6el, S. Akintoye, B. C. Stahl, M. Cepic, E. Johnson, G. Deco, A. R. McIntosh, C. C. Hilgetag, M. Morgan, B. Schuller, A. Upton, C. McMurtrie, T. Dickscheid, J. G. Bjaalie, K. Amunts, J. Mersmann, V. Jirsa, P. Ritter (2022) Brain simulation as a cloud service: The Virtual Brain on EBRAINS, NeuroImage 2022, doi.org/10.1016/j.neuroimage.2022.118973"]}
Various demonstration datasets for use with The Virtual Brain project are provided here. Here you will find: compatible file/folder structures that can be uploaded through the web interface of TVB. For this usage scenario, you should just download, and unzip the current package. Independently, download TVB_Distribution from https://www.thevirtualbrain.org/ and from its web GUI upload files from this unzipped folder, at need. the default datasets used when working in console or library mode. For this usage scenario, you should download, unzip, and install in your python distribution this tvb-data as a regular python package using one of the alternatives: pip install . python setup.py develop More information on TVB documentation site: http://docs.thevirtualbrain.org/ or on the main webpage of the project https://www.thevirtualbrain.org/
CHANGES: Removed berlinSubjects folder
tvb virtual brain human macaque mouse, tvb virtual brain human monkey
tvb virtual brain human macaque mouse, tvb virtual brain human monkey
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 230 | |
| downloads | 759 |

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