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neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space

Conductance-based neuronal network models can help us understand how synaptic and cellular mechanisms underlie brain function. However, these complex models are difficult to develop and are inaccessible to most neuroscientists. Moreover, even the most biologically realistic network models disregard...

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Detalles Bibliográficos
Autores principales: Gleeson, Padraig, Steuber, Volker, Silver, R. Angus
Formato: Texto
Lenguaje:English
Publicado: Cell Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1885959/
https://www.ncbi.nlm.nih.gov/pubmed/17442244
http://dx.doi.org/10.1016/j.neuron.2007.03.025
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author Gleeson, Padraig
Steuber, Volker
Silver, R. Angus
author_facet Gleeson, Padraig
Steuber, Volker
Silver, R. Angus
author_sort Gleeson, Padraig
collection PubMed
description Conductance-based neuronal network models can help us understand how synaptic and cellular mechanisms underlie brain function. However, these complex models are difficult to develop and are inaccessible to most neuroscientists. Moreover, even the most biologically realistic network models disregard many 3D anatomical features of the brain. Here, we describe a new software application, neuroConstruct, that facilitates the creation, visualization, and analysis of networks of multicompartmental neurons in 3D space. A graphical user interface allows model generation and modification without programming. Models within neuroConstruct are based on new simulator-independent NeuroML standards, allowing automatic generation of code for NEURON or GENESIS simulators. neuroConstruct was tested by reproducing published models and its simulator independence verified by comparing the same model on two simulators. We show how more anatomically realistic network models can be created and their properties compared with experimental measurements by extending a published 1D cerebellar granule cell layer model to 3D.
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spelling pubmed-18859592007-06-11 neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space Gleeson, Padraig Steuber, Volker Silver, R. Angus Neuron Neurotechnique Conductance-based neuronal network models can help us understand how synaptic and cellular mechanisms underlie brain function. However, these complex models are difficult to develop and are inaccessible to most neuroscientists. Moreover, even the most biologically realistic network models disregard many 3D anatomical features of the brain. Here, we describe a new software application, neuroConstruct, that facilitates the creation, visualization, and analysis of networks of multicompartmental neurons in 3D space. A graphical user interface allows model generation and modification without programming. Models within neuroConstruct are based on new simulator-independent NeuroML standards, allowing automatic generation of code for NEURON or GENESIS simulators. neuroConstruct was tested by reproducing published models and its simulator independence verified by comparing the same model on two simulators. We show how more anatomically realistic network models can be created and their properties compared with experimental measurements by extending a published 1D cerebellar granule cell layer model to 3D. Cell Press 2007-04-19 /pmc/articles/PMC1885959/ /pubmed/17442244 http://dx.doi.org/10.1016/j.neuron.2007.03.025 Text en © 2007 ELL & Excerpta Medica. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Neurotechnique
Gleeson, Padraig
Steuber, Volker
Silver, R. Angus
neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title_full neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title_fullStr neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title_full_unstemmed neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title_short neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space
title_sort neuroconstruct: a tool for modeling networks of neurons in 3d space
topic Neurotechnique
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1885959/
https://www.ncbi.nlm.nih.gov/pubmed/17442244
http://dx.doi.org/10.1016/j.neuron.2007.03.025
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