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Our Goal is to evolve the HSB to integrate morphology and molecular data, and physiology of individual cells into one data base. In the ideal situation, different types of physical data,
 

Summary: Our Goal is to evolve the HSB to integrate morphology and molecular data, and physiology
of individual cells into one data base. In the ideal situation, different types of physical data,
e.g. morphology and physiological recordings, exist for the very same neuron
Ultimately, this will allow the user to e.g. specify a certain cell type in order to retrieve
morphologies along with the physiological characterizations, raw data and bibliographic
references. In addition, export functions will allow to retrieve morphologies and
connections schemes to be used for computational single neuron and network models In
the ideal situation different types of physical data, e.g. morphology and physiological
recordings, exist for the very same neurons (see F8).
The database is accessible through different modi, e.g. by visual browsing in the 3D Atlas
by browsing the ontology structure, or through a database search. This e.g. allows to
retrieve all data that is associated with a certain publication.
G-Node and outlook
G-Node Ref: Herz AVM, Meier R, Nawrot MP, Schiegel W, Zito T (2008) Cellular and Systems Neurophysiology in the Age of
Global Neuroinformatics. Neural Networks 21: 1070-1075. www.g-node.org
The HoneyBee Standard Brain (HSB) - a Versatile Atlas Tool for
Integrating Data and Data Exchange in the Neuroscience Community
Jürgen Rybak1,5, Anja Kuß2, Wolfgang Holler3, Robert Brandt3, Hans-Christian Hege2, Martin Nawrot1,4 ,Randolf Menzel1
1 Neurobiology, FU Berlin, D-14195 Berlin, 2 Zuse Institute Berlin, Takustr. 7, D-14195 Berlin 3 Visage-Imaging, Berlin, 12163 Berlin, 4 G-Node, Ludwig-Maximilians-Universität Munich, Martinsried 82152, 5 Max-Planck institute for Chemical Ecology, 0775 Jena
Fitting identified Neurons into the HSB

  

Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin

 

Collections: Computer Technologies and Information Sciences