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  BrainModes: A principled approach to modeling and measuring large-scale neuronal activity

Breakspear, M. J., Daffertshofer, A., & Ritter, P. (2009). BrainModes: A principled approach to modeling and measuring large-scale neuronal activity. Journal of Neuroscience Methods, 183(1), 1-4. doi:10.1016/j.jneumeth.2009.07.008.

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 Creators:
Breakspear, Michael J., Author
Daffertshofer, Andreas, Author
Ritter, Petra1, Author           
Affiliations:
1Bernstein Center for Computational Neuroscience Berlin, ou_persistent22              

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 Abstract: Complex systems, such as the brain, exhibit multiple levels of organization due to processes which support the separation of scales across time and/or space. That is, cooperative phenomena – or “modes” of activity – occurring at one scale give rise to coherent spatiotemporal structures at a coarser scale. In turn, structures at the coarser scale constrain – and hence influence – emerging activity at a finer scale. BrainModes is an annual scientific summit which seeks to bring together experimental, computational and theoretical neuroscientists engaged at different levels of organization, with the goal of advancing a principled approach to understanding brain function based on the concept of cooperative phenomena in complex systems. Phenomena of particular interest include synchronization, stochastic influences, and spatiotemporal processes in both healthy and pathological states such as seizures. This Special Issue reports the 2008 BrainModes Workshop, held in Amsterdam (December 2008) which focused on the application of this framework to the analysis of brain oscillations and synchronization phenomena across time scales.

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Language(s): eng - English
 Dates: 2009-07-142009-09-30
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jneumeth.2009.07.008
PMID: 19607859
Other: Epub 2009
 Degree: -

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Title: Journal of Neuroscience Methods
  Other : J. Neurosci. Meth.
Source Genre: Journal
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Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 183 (1) Sequence Number: - Start / End Page: 1 - 4 Identifier: ISSN: 0165-0270
CoNE: https://pure.mpg.de/cone/journals/resource/954925480594