1. A Stratification Matrix Viewer for Analysis of Neural Network Data
- Author
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Harth, Philipp, Vohra, Sumit Kumar, Udvary, Daniel, Oberlaender, Marcel, Hege, Hans-Christian, and Baum, Daniel
- Subjects
Computing methodologies → Model verification and validation ,centered computing → Visual analytics ,CCS Concepts: Human-centered computing → Visual analytics ,Applied computing → Biological networks" ,Human - 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., Visual Analytics, Artificial Intelligence, Philipp Harth, Sumit Vohra, Daniel Udvary, Marcel Oberlaender, Hans-Christian Hege, and Daniel Baum
- Published
- 2022
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