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ShareScore release 0.9.0
Dataset results
2 results for “domain decomposition”
Domain Decomposition Method for Helmholtz Equation with Corner Correction
<p>This dataset represents numerical simulations of a transmission condition for the Helmholtz equation in the case of a broken line boundary. The results have been achieved using open-source software: <a href="http://gmsh.info/">GMSH</a>, commit number 418deb961, version 4.6.0, May 7th 2020 (mesh and post-processing), <a href="http://getdp.info/">GetDP</a>, version 3.3.0 (finite element solver) and its domain decomposition module <a href="http://onelab.info/GetDDM/">GetDDM</a>.</p> <p>The script used to get the dataset is available online (septembre 8th 2021):</p> <p><a href="https://gitlab.onelab.info/doc/models/-/tree/master/DDM-Corner-Helmholtz-2D">https://gitlab.onelab.info/doc/models/-/tree/master/DDM-Corner-Helmholtz-2D</a>.</p> <p>The associated paper is currently under review, a preprint can be found on HAL: <a href="https://hal.archives-ouvertes.fr/hal-02612368">https://hal.archives-ouvertes.fr/hal-02612368</a>.</p>
Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations.
<p>Faes L, Pernice R, Mijatovic G, Antonacci Y, Krohova JC, Javorka M, Porta A. Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200250. doi: 10.1098/rsta.2020.0250. Epub 2021 Oct 25. PMID: 34689619.</p> <p>Abstract</p> <p>While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows us to retrieve amounts of information shared by the processes within specific frequency bands which are otherwise not detectable by time-domain information measures, as well as coupling features which are not detectable by spectral measures. Then, it is applied to the time series of heart period, systolic and diastolic arterial pressure and respiration variability measured in healthy subjects monitored in the resting supine position and during head-up tilt. We show that the spectral measures of unique, redundant and synergistic information shared by these variability series, integrated within specific frequency bands of physiological interest and reflect the mechanisms of short-term regulation of cardiovascular and cardiorespiratory oscillations and their alterations induced by the postural stress. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.