<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"</dcterms:title><dcterms:identifier>https://doi.org/10.26165/JUELICH-DATA/JJ31IX</dcterms:identifier><dcterms:creator>Robens, Markus</dcterms:creator><dcterms:publisher>Jülich DATA</dcterms:publisher><dcterms:issued>2024-10-02</dcterms:issued><dcterms:modified>2024-10-02T08:55:21Z</dcterms:modified><dcterms:description>This is a wrapper for »Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"« submitted to Zenodo (Robens, 2024) due to its file size.&#xd;
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This dataset contains data underlying the results presented in the article Robens M, Kleijnen R, Schiek M, and van Waasen S (2024) NoC simulation steered by NEST: McAERsim and a Noxim patch. Front. Neurosci. 18:1371103. doi: 10.3389/fnins.2024.1371103.&#xd;
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In particular, the dataset includes simulation output that has been evaluated to create the plots presented in the publication as well as simulation output that has been used to stimulate the network-on-chip (NoC) simulations. There have been multiple simulation runs with different parameters resulting from different scalings of the neuroscientific model used to generate input data as well as different partitionings and casting schemes applied in the network-on-chip simulations. Further information on the virtual hardware setup as well as the input data used for the network-on-chip simulations can be found in the publication.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>neuromorphic computing</dcterms:subject><dcterms:subject>network-on-chip simulations</dcterms:subject><dcterms:subject>latency</dcterms:subject><dcterms:subject>network load</dcterms:subject><dcterms:subject>spiking neural networks</dcterms:subject><dcterms:isReferencedBy>Robens, M. (2024). Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch" [Data set]. Zenodo (Genève: CERN)., doi, 10.5281/zenodo.10159252, https://zenodo.org/records/10159252</dcterms:isReferencedBy><dcterms:contributor>Robens, Markus</dcterms:contributor><dcterms:dateSubmitted>2024-07-04</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>