Literature DB >> 17177264

Online workbenches for neural network connections.

Mihail Bota1, Larry W Swanson.   

Abstract

The nervous system is the most complex object we know of. It is a spatially distributed, functionally differentiated network formed by axonal connections between defined neuron populations and effector cells. Computer science provides exciting new tools for archiving, analyzing, synthesizing, and modeling on the Web vast amounts of frequently conflicting and incomplete qualitative and quantitative data about the organization and molecular mechanisms of neural networks. To optimize conceptual advances in systems neuroscience, it is important for the research and publishing communities to embrace three exercises: using defined nomenclatures; populating databases; and providing feedback to developers about improved design, performance, and functionality of knowledge management systems and associated visualization tools. 2006 Wiley-Liss, Inc.

Mesh:

Year:  2007        PMID: 17177264     DOI: 10.1002/cne.21209

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  18 in total

1.  neuroVIISAS: approaching multiscale simulation of the rat connectome.

Authors:  Oliver Schmitt; Peter Eipert
Journal:  Neuroinformatics       Date:  2012-07

2.  Foundational model of structural connectivity in the nervous system with a schema for wiring diagrams, connectome, and basic plan architecture.

Authors:  Larry W Swanson; Mihail Bota
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-15       Impact factor: 11.205

Review 3.  The neuron classification problem.

Authors:  Mihail Bota; Larry W Swanson
Journal:  Brain Res Rev       Date:  2007-05-26

Review 4.  Extending the amygdala in theories of threat processing.

Authors:  Andrew S Fox; Jonathan A Oler; Do P M Tromp; Julie L Fudge; Ned H Kalin
Journal:  Trends Neurosci       Date:  2015-04-04       Impact factor: 13.837

5.  Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome.

Authors:  Martijn P van den Heuvel; Marcel A de Reus; Lisa Feldman Barrett; Lianne H Scholtens; Fraukje M T Coopmans; Ruben Schmidt; Todd M Preuss; James K Rilling; Longchuan Li
Journal:  Hum Brain Mapp       Date:  2015-06-09       Impact factor: 5.038

Review 6.  Quest for the basic plan of nervous system circuitry.

Authors:  Larry W Swanson
Journal:  Brain Res Rev       Date:  2006-12-29

7.  Collating and Curating Neuroanatomical Nomenclatures: Principles and Use of the Brain Architecture Knowledge Management System (BAMS).

Authors:  Mihail Bota; Larry W Swanson
Journal:  Front Neuroinform       Date:  2010-03-29       Impact factor: 4.081

8.  NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.

Authors:  Maryam Halavi; Sridevi Polavaram; Duncan E Donohue; Gail Hamilton; Jeffrey Hoyt; Kenneth P Smith; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2008-10-24

Review 9.  Comparing histological data from different brains: sources of error and strategies for minimizing them.

Authors:  Donna M Simmons; Larry W Swanson
Journal:  Brain Res Rev       Date:  2009-02-24

10.  Neural systems language: a formal modeling language for the systematic description, unambiguous communication, and automated digital curation of neural connectivity.

Authors:  Ramsay A Brown; Larry W Swanson
Journal:  J Comp Neurol       Date:  2013-09-01       Impact factor: 3.215

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