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  Synaptic Connectivity in Anatomically Realistic Neural Networks: Modeling and Visual Analysis

Dercksen, V., Egger, R., Hege, H.-C., & Oberlaender, M. (2012). Synaptic Connectivity in Anatomically Realistic Neural Networks: Modeling and Visual Analysis. In T. Ropinski, A. Ynnerman, C. Botha, & J. Roerdink (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 17-24). Goslar, Germany: Eurographics Association.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-B636-F Version Permalink: https://hdl.handle.net/21.11116/0000-0001-8E8C-2
Genre: Conference Paper

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Locator:
http://diglib.eg.org/handle/10.2312/VCBM.VCBM12.017-024 (Publisher version)
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Locator:
http://www.zib.de/visual-publications/sources/src-2012/DercksenVCBM2012web.pdf (Any fulltext)
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 Creators:
Dercksen, VJ, Author
Egger, R1, Author           
Hege, H-C, Author
Oberlaender, M1, Author           
Affiliations:
1Digital Neuroanatomy Group, Max Planck Florida Institute, Jupiter, USA, ou_persistent22              

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 Abstract: The structural organization of neural circuitry is an important determinant of brain function. Thus, knowing the brain's wiring (the connectome) is key to understanding how it works. For example, understanding how sensory information is translated into behavior requires a comprehensive view of the microcircuits performing this translation at the level of individual neurons and synapses. Obtaining a wiring diagram, however, is nontrivial due to size, complexity and accessibility of the involved brain regions. Even when such data were available, it were difficult to analyze. Here we describe how a network of 0.5 million neurons and their synaptic connections, representing the vibrissal area of the rat primary somatosensory cortex, can be reconstructed. Furthermore, we present a framework for visual exploration of synaptic connectivity between (groups of) neurons within this model. It includes, first, the Cortical Column Connectivity Viewer (CCCV) that provides a hybrid abstract/spatial representation of the connections between neurons of different cell types and/or in different cortical columns. Second, it comprises a 3D view of cell type-specific synapse positions on selected morphologies. This framework is thus an effective tool to visually explore structural organization principles at the population, individual neuron and synapse levels.

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Language(s):
 Dates: 2012-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.2312/VCBM/VCBM12/017-024
BibTex Citekey: DercksenEHO2012
 Degree: -

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Title: Third Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 12)
Place of Event: Norrköping, Sweden
Start-/End Date: -

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Title: Eurographics Workshop on Visual Computing for Biology and Medicine
Source Genre: Proceedings
 Creator(s):
Ropinski, T, Editor
Ynnerman, A, Editor
Botha, C, Editor
Roerdink, J, Editor
Affiliations:
-
Publ. Info: Goslar, Germany : Eurographics Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 17 - 24 Identifier: ISBN: 978-3-905674-38-5
ISSN: 2070-5778