Literature DB >> 25089156

ModelDB in computational neuroscience education - a research tool as interactive educational media.

Thomas M Morse1.   

Abstract

ModelDB's mission is to link computational models and publications, supporting the field of computational neuroscience (CNS) by making model source code readily available. It is continually expanding, and currently contains source code for more than 300 models that cover more than 41 topics. Investigators, educators, and students can use it to obtain working models that reproduce published results and can be modified to test for new domains of applicability. Users can browse ModelDB to survey the field of computational neuroscience, or pursue more focused explorations of specific topics. Here we describe tutorials and initial experiences with ModelDB as an interactive educational tool.

Keywords:  Biologically Realistic; Electrical Excitability; Ion Channel; Kinetics; Neuronal Model; Neuronal Networks

Year:  2008        PMID: 25089156      PMCID: PMC4117215     

Source DB:  PubMed          Journal:  Brains Minds Media        ISSN: 1861-1680


  20 in total

1.  Database tools for integrating and searching membrane property data correlated with neuronal morphology.

Authors:  J S Mirsky; P M Nadkarni; M D Healy; P L Miller; G M Shepherd
Journal:  J Neurosci Methods       Date:  1998-07-01       Impact factor: 2.390

Review 2.  Expanding NEURON's repertoire of mechanisms with NMODL.

Authors:  M L Hines; N T Carnevale
Journal:  Neural Comput       Date:  2000-05       Impact factor: 2.026

Review 3.  Emerging rules for the distributions of active dendritic conductances.

Authors:  Michele Migliore; Gordon M Shepherd
Journal:  Nat Rev Neurosci       Date:  2002-05       Impact factor: 34.870

4.  ModelDB: A Database to Support Computational Neuroscience.

Authors:  Michael L Hines; Thomas Morse; Michele Migliore; Nicholas T Carnevale; Gordon M Shepherd
Journal:  J Comput Neurosci       Date:  2004 Jul-Aug       Impact factor: 1.621

5.  ModelDB: making models publicly accessible to support computational neuroscience.

Authors:  Michele Migliore; Thomas M Morse; Andrew P Davison; Luis Marenco; Gordon M Shepherd; Michael L Hines
Journal:  Neuroinformatics       Date:  2003

Review 6.  Backpropagating action potentials in neurones: measurement, mechanisms and potential functions.

Authors:  Jack Waters; Andreas Schaefer; Bert Sakmann
Journal:  Prog Biophys Mol Biol       Date:  2005-01       Impact factor: 3.667

7.  Influence of dendritic structure on firing pattern in model neocortical neurons.

Authors:  Z F Mainen; T J Sejnowski
Journal:  Nature       Date:  1996-07-25       Impact factor: 49.962

8.  A model neuron with activity-dependent conductances regulated by multiple calcium sensors.

Authors:  Z Liu; J Golowasch; E Marder; L F Abbott
Journal:  J Neurosci       Date:  1998-04-01       Impact factor: 6.167

9.  Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons.

Authors:  A Destexhe; M Rudolph; J M Fellous; T J Sejnowski
Journal:  Neuroscience       Date:  2001       Impact factor: 3.590

10.  Gamma rhythms and beta rhythms have different synchronization properties.

Authors:  N Kopell; G B Ermentrout; M A Whittington; R D Traub
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

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  1 in total

Review 1.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

  1 in total

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