A Stratification Matrix Viewer for Analysis of Neural Network Data

Philipp Harth; Sumit Vohra; Daniel Udvary; Marcel Oberlaender; Hans-Christian Hege; Daniel Baum

doi:10.2312/vcbm.20221194

A Stratification Matrix Viewer for Analysis of Neural Network Data

Philipp Harth, Sumit Vohra, Daniel Udvary, Marcel Oberlaender, Hans-Christian Hege, Daniel Baum

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The 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.

Original language	English
Title of host publication	EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings
Editors	D.W. Fellner, W. Hansmann, W. Purgathofer, F. Sillion
Publisher	Eurographics Association
Pages	117-121
ISBN (Electronic)	9783038681779
DOIs	https://doi.org/10.2312/vcbm.20221194
Publication status	Published - 2022
Externally published	Yes
Event	2022 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2022 - Vienna, Austria Duration: 22 Sept 2022 → 23 Sept 2022

Publication series

Name	Eurographics Workshop on Visual Computing for Biomedicine
ISSN (Print)	2070-5778
ISSN (Electronic)	2070-5786

Conference

Conference	2022 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2022
Country/Territory	Austria
City	Vienna
Period	22/09/22 → 23/09/22

Funding

Deutsche Forschungsgemeinschaft (SPP 2041 Computational Con-nectomics) under award number 347210657 and National Institute of Neurological Disorders and Stroke (NINDS) of the National Institutes of Health under award number 1U19NS104653.

Funders	Funder number
National Institutes of Health	1U19NS104653
National Institute of Neurological Disorders and Stroke
Deutsche Forschungsgemeinschaft	SPP 2041, 347210657

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10.2312/vcbm.20221194

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Harth, P., Vohra, S., Udvary, D., Oberlaender, M., Hege, H.-C., & Baum, D. (2022). A Stratification Matrix Viewer for Analysis of Neural Network Data. In D. W. Fellner, W. Hansmann, W. Purgathofer, & F. Sillion (Eds.), EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings (pp. 117-121). (Eurographics Workshop on Visual Computing for Biomedicine). Eurographics Association. https://doi.org/10.2312/vcbm.20221194

Harth, Philipp ; Vohra, Sumit ; Udvary, Daniel et al. / A Stratification Matrix Viewer for Analysis of Neural Network Data. EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings. editor / D.W. Fellner ; W. Hansmann ; W. Purgathofer ; F. Sillion. Eurographics Association, 2022. pp. 117-121 (Eurographics Workshop on Visual Computing for Biomedicine).

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title = "A Stratification Matrix Viewer for Analysis of Neural Network Data",

abstract = "The 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.",

author = "Philipp Harth and Sumit Vohra and Daniel Udvary and Marcel Oberlaender and Hans-Christian Hege and Daniel Baum",

year = "2022",

doi = "10.2312/vcbm.20221194",

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booktitle = "EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings",

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Harth, P, Vohra, S, Udvary, D, Oberlaender, M, Hege, H-C & Baum, D 2022, A Stratification Matrix Viewer for Analysis of Neural Network Data. in DW Fellner, W Hansmann, W Purgathofer & F Sillion (eds), EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings. Eurographics Workshop on Visual Computing for Biomedicine, Eurographics Association, pp. 117-121, 2022 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2022, Vienna, Austria, 22/09/22. https://doi.org/10.2312/vcbm.20221194

A Stratification Matrix Viewer for Analysis of Neural Network Data. / Harth, Philipp; Vohra, Sumit; Udvary, Daniel et al.
EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings. ed. / D.W. Fellner; W. Hansmann; W. Purgathofer; F. Sillion. Eurographics Association, 2022. p. 117-121 (Eurographics Workshop on Visual Computing for Biomedicine).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Harth P, Vohra S, Udvary D, Oberlaender M, Hege HC, Baum D. A Stratification Matrix Viewer for Analysis of Neural Network Data. In Fellner DW, Hansmann W, Purgathofer W, Sillion F, editors, EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings. Eurographics Association. 2022. p. 117-121. (Eurographics Workshop on Visual Computing for Biomedicine). doi: 10.2312/vcbm.20221194

A Stratification Matrix Viewer for Analysis of Neural Network Data

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