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Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables

Complex ideas are best conveyed through well-designed illustrations. Up to now, computational neuroscientists have mostly relied on box-and-arrow diagrams of even complex neuronal networks, often using ad hoc notations with conflicting use of symbols from paper to paper. This significantly impedes t...

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Detalles Bibliográficos
Autores principales: Nordlie, Eilen, Plesser, Hans Ekkehard
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2816167/
https://www.ncbi.nlm.nih.gov/pubmed/20140265
http://dx.doi.org/10.3389/neuro.11.039.2009
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author Nordlie, Eilen
Plesser, Hans Ekkehard
author_facet Nordlie, Eilen
Plesser, Hans Ekkehard
author_sort Nordlie, Eilen
collection PubMed
description Complex ideas are best conveyed through well-designed illustrations. Up to now, computational neuroscientists have mostly relied on box-and-arrow diagrams of even complex neuronal networks, often using ad hoc notations with conflicting use of symbols from paper to paper. This significantly impedes the communication of ideas in neuronal network modeling. We present here Connectivity Pattern Tables (CPTs) as a clutter-free visualization of connectivity in large neuronal networks containing two-dimensional populations of neurons. CPTs can be generated automatically from the same script code used to create the actual network in the NEST simulator. Through aggregation, CPTs can be viewed at different levels, providing either full detail or summary information. We also provide the open source ConnPlotter tool as a means to create connectivity pattern tables.
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spelling pubmed-28161672010-02-05 Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables Nordlie, Eilen Plesser, Hans Ekkehard Front Neuroinformatics Neuroscience Complex ideas are best conveyed through well-designed illustrations. Up to now, computational neuroscientists have mostly relied on box-and-arrow diagrams of even complex neuronal networks, often using ad hoc notations with conflicting use of symbols from paper to paper. This significantly impedes the communication of ideas in neuronal network modeling. We present here Connectivity Pattern Tables (CPTs) as a clutter-free visualization of connectivity in large neuronal networks containing two-dimensional populations of neurons. CPTs can be generated automatically from the same script code used to create the actual network in the NEST simulator. Through aggregation, CPTs can be viewed at different levels, providing either full detail or summary information. We also provide the open source ConnPlotter tool as a means to create connectivity pattern tables. Frontiers Research Foundation 2010-01-29 /pmc/articles/PMC2816167/ /pubmed/20140265 http://dx.doi.org/10.3389/neuro.11.039.2009 Text en Copyright © 2010 Nordlie and Plesser. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Nordlie, Eilen
Plesser, Hans Ekkehard
Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title_full Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title_fullStr Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title_full_unstemmed Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title_short Visualizing Neuronal Network Connectivity with Connectivity Pattern Tables
title_sort visualizing neuronal network connectivity with connectivity pattern tables
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2816167/
https://www.ncbi.nlm.nih.gov/pubmed/20140265
http://dx.doi.org/10.3389/neuro.11.039.2009
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