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Resource:Computational Neuroanatomy Group

Name: Resource:Computational Neuroanatomy Group
Description: Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column).

Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality.

Based on biologically plausible "rules" and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from.

Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate.
Other Name(s): Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study
Abbreviation: CNG
Parent Organization: Resource:George Mason University: Krasnow Institute for Advanced Study
Supporting Agency: NINDS, NIMH, NSF, Resource:Human Brain Project
Grant: R01
Resource Type(s): Topical portal, Software resource
Resource: Resource
URL: http://krasnow1.gmu.edu/cn3/index3.html
Id: nif-0000-00503
Address: Computational Neuroanatomy Group, Krasnow Institute for Advanced Study, George Mason University, Mail Stop 2A1, Fairfax, Virginia 22030-4444
Keywords: dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, Morphology, Network connectivity, Basal Ganglia, Modeling software, Hippocampus, Hermissenda Learning, Caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, CA3 pyramidal cell, ArborVitae, CA1 pyramidal cell, polymorphic cell, DG granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, CA3, CA1 pyramidal neuron, digital morphological reconstruction, Digital reconstruction, dendrite, axon, neuronal tree, signaling pathway
Link to OWL / RDF: Download this content as OWL/RDF

Parts of Resource:Computational Neuroanatomy Group

Curation status: Uncurated

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Notes

This page uses this default form:Resource

Old URL: http://krasnow.gmu.edu/cn3/index3.html

Contributors

Aarnaud, Ccdbuser, Nifbot2, Zaidaziz



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Facts about Resource:Computational Neuroanatomy GroupRDF feed
AbbrevCNG  +
AddressComputational Neuroanatomy Group  +, Krasnow Institute for Advanced Study  +, George Mason University  +, Mail Stop 2A1  +, Fairfax  +, and Virginia 22030-4444  +
CurationStatuscurated  +
DefiningCitationhttp://krasnow1.gmu.edu/cn3/index3.html  +
DefinitionMultidisciplinary research team devoted to Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column).

Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality.

Based on biologically plausible "rules" and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from.

Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate.
gy for virtual axons in a voxel substrate.
ExampleImageCNG.PNG  +
GrantCategory:R01   +
Has default formThis property is a special property in this wiki.Resource  +
Has roleTopical portal  +, and Software resource  +
Idnif-0000-00503  +
Is part ofResource:George Mason University: Krasnow Institute for Advanced Study  +
KeywordsDendritic morphology  +, Neuronal morphology  +, Neuronal electrophysiology  +, Mammalian brain  +, Neural network  +, Cell  +, Model  +, Morphology  +, Network connectivity  +, Basal Ganglia  +, Modeling software  +, Hippocampus  +, Hermissenda Learning  +, Caulescence  +, Tree structure  +, Neuron  +, Virtual neural network  +, Morphological class of neuron  +, Virtual neuron  +, Virtual brain  +, CA3 pyramidal cell  +, ArborVitae  +, CA1 pyramidal cell  +, Polymorphic cell  +, DG granule cell  +, Axonal navigation  +, Synaptic connectivity  +, Neuroplasticity  +, Neuroanatomy  +, Neuroinformatics  +, Computation  +, Network model  +, Neural circuit  +, Cellular event  +, Expression  +, CA3  +, CA1 pyramidal neuron  +, Digital morphological reconstruction  +, Digital reconstruction  +, Dendrite  +, Axon  +, Neuronal tree  +, and Signaling pathway  +
LabelResource:Computational Neuroanatomy Group  +
ModifiedDate11 September 2013  +
Page has default formThis property is a special property in this wiki.Resource  +
SuperCategoryResource  +
Supporting AgencyNINDS  +, NIMH  +, NSF  +, and Resource:Human Brain Project  +
SynonymComputational Neuroanatomy Group at the Krasnow Institute for Advanced Study  +