A Stratification Matrix Viewer for Analysis of Neural Network Data

Simple item page
dc.contributor.authorHarth, Philippen_US
dc.contributor.authorVohra, Sumiten_US
dc.contributor.authorUdvary, Danielen_US
dc.contributor.authorOberlaender, Marcelen_US
dc.contributor.authorHege, Hans-Christianen_US
dc.contributor.authorBaum, Danielen_US
dc.contributor.editorRenata G. Raidouen_US
dc.contributor.editorBjörn Sommeren_US
dc.contributor.editorTorsten W. Kuhlenen_US
dc.contributor.editorMichael Kroneen_US
dc.contributor.editorThomas Schultzen_US
dc.contributor.editorHsiang-Yun Wuen_US
dc.date.accessioned2022-09-19T11:46:35Z
dc.date.available2022-09-19T11:46:35Z
dc.date.issued2022
dc.description.abstractThe analysis of brain networks is central to neurobiological research. In this context the following tasks often arise: (1) understand the cellular composition of a reconstructed neural tissue volume to determine the nodes of the brain network; (2) quantify connectivity features statistically; and (3) compare these to predictions of mathematical models. We present a framework for interactive, visually supported accomplishment of these tasks. Its central component, the stratification matrix viewer, allows users to visualize the distribution of cellular and/or connectional properties of neurons at different levels of aggregation. We demonstrate its use in four case studies analyzing neural network data from the rat barrel cortex and human temporal cortex.en_US
dc.description.sectionheadersVisual Analytics, Artificial Intelligence
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20221194
dc.identifier.isbn978-3-03868-177-9
dc.identifier.issn2070-5786
dc.identifier.pages117-121
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20221194
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20221194
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visual analytics; Computing methodologies → Model verification and validation; Applied computing → Biological networks"
dc.subjectHuman
dc.subjectcentered computing → Visual analytics
dc.subjectComputing methodologies → Model verification and validation
dc.subjectApplied computing → Biological networks"
dc.titleA Stratification Matrix Viewer for Analysis of Neural Network Dataen_US
Files
Original bundle
Now showing 1 - 4 of 4
Thumbnail Image
Name:
117-121.pdf
Size:
2.4 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
paper1010_mm.mp4
Size:
167.85 MB
Format:
Unknown data format
Download
Thumbnail Image
Name:
supp.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
survey.xlsx
Size:
24.42 KB
Format:
Microsoft Excel XML
Download
Collections
VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine