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  Buildingbrains-3d: A tool to integrate neuron morphologies into 3d brain reconstructions

Johnson, A., Zhovnir, O., Egger, R., Sakmann, B., & Oberlaender, M. (2014). Buildingbrains-3d: A tool to integrate neuron morphologies into 3d brain reconstructions. Poster presented at 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-3217-D Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3473-3
Genre: Poster

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 Creators:
Johnson, A, Author
Zhovnir, O, Author
Egger, Robert1, 2, Author              
Sakmann, B, Author
Oberlaender, Marcel1, 2, Author              
Affiliations:
1Former Research Group Computational Neuroanatomy, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528698              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: BuildingBrains-3D (BB3D, buildingbrains-3d.org) is a scalable platform of web-based tools for assimilating and analyzing complete 3D reconstructions of individual neurons with respect to their precise 3D location in the brain. Presently these reconstructions are the basis for determining excitatory and inhibitory cell-types serving as sampling sets for large-scale dense connectivity simulations over macroscopic scales in the rat barrel cortex. BB3D is scalable, however, and provides a stable platform for Neuroscientists from laboratories around the world to integrate their reconstructions into common reference frames (e.g. rat cortex, see Egger et al.) to extract standardized morphological features and to obtain insights into the organizational principles of neural circuits within and across brains, regions and species.

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 Dates: 2014-11-17
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: JohnsonZESO2014
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Title: 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014)
Place of Event: Washington, DC, USA
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Title: 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 440.03 Start / End Page: - Identifier: -