Literature DB >> 18653312

G-Node: an integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics.

Andreas V M Herz1, Ralph Meier, Martin P Nawrot, Willi Schiegel, Tiziano Zito.   

Abstract

The global scale of neuroinformatics offers unprecedented opportunities for scientific collaborations between and among experimental and theoretical neuroscientists. To fully harvest these possibilities, a set of coordinated activities is required that will improve three key ingredients of neuroscientific research: data access, data storage, and data analysis, together with supporting activities for teaching and training. Focusing on the development of tools aiming at neurophysiological data, the newly established German Neuroinformatics Node (G-Node) aims at addressing these aspects as part of the International Neuroinformatics Coordination Facility (INCF). Based on its technical and scientific scope, the Node could play a substantial role for cellular and systems neurophysiology as well as for the neuroscience community at large.

Mesh:

Year:  2008        PMID: 18653312     DOI: 10.1016/j.neunet.2008.05.011

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  12 in total

1.  A formal mathematical framework for physiological observations, experiments and analyses.

Authors:  Thomas A Nielsen; Henrik Nilsson; Tom Matheson
Journal:  J R Soc Interface       Date:  2011-10-05       Impact factor: 4.118

2.  A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience.

Authors:  Victoria Hodge; Mark Jessop; Martyn Fletcher; Michael Weeks; Aaron Turner; Tom Jackson; Colin Ingram; Leslie Smith; Jim Austin
Journal:  Neuroinformatics       Date:  2016-01

3.  Integrating heterogeneous odor response data into a common response model: A DoOR to the complete olfactome.

Authors:  C Giovanni Galizia; Daniel Münch; Martin Strauch; Anja Nissler; Shouwen Ma
Journal:  Chem Senses       Date:  2010-06-07       Impact factor: 3.160

4.  Database analysis of simulated and recorded electrophysiological datasets with PANDORA's toolbox.

Authors:  Cengiz Günay; Jeremy R Edgerton; Su Li; Thomas Sangrey; Astrid A Prinz; Dieter Jaeger
Journal:  Neuroinformatics       Date:  2009-05-28

5.  Statistical analysis of multi-cell recordings: linking population coding models to experimental data.

Authors:  Jakob Macke; Philipp Berens; Matthias Bethge
Journal:  Front Comput Neurosci       Date:  2011-07-28       Impact factor: 2.380

6.  A Bottom-up Approach to Data Annotation in Neurophysiology.

Authors:  Jan Grewe; Thomas Wachtler; Jan Benda
Journal:  Front Neuroinform       Date:  2011-08-30       Impact factor: 4.081

7.  MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB.

Authors:  Jeremy Cockfield; Kyungmin Su; Kay A Robbins
Journal:  Front Neuroinform       Date:  2013-10-10       Impact factor: 4.081

8.  Integrating neuroinformatics tools in TheVirtualBrain.

Authors:  M Marmaduke Woodman; Laurent Pezard; Lia Domide; Stuart A Knock; Paula Sanz-Leon; Jochen Mersmann; Anthony R McIntosh; Viktor Jirsa
Journal:  Front Neuroinform       Date:  2014-04-22       Impact factor: 4.081

9.  Integrated platform and API for electrophysiological data.

Authors:  Andrey Sobolev; Adrian Stoewer; Aljoscha Leonhardt; Philipp L Rautenberg; Christian J Kellner; Christian Garbers; Thomas Wachtler
Journal:  Front Neuroinform       Date:  2014-04-23       Impact factor: 4.081

10.  Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis.

Authors:  Robert Pröpper; Klaus Obermayer
Journal:  Front Neuroinform       Date:  2013-11-11       Impact factor: 4.081

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