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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

16. Large Scale Brain Networks of Neural Fields

verfasst von : Viktor Jirsa

Erschienen in: Neural Fields

Verlag: Springer Berlin Heidelberg

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Abstract

Neural fields describe neural activations continuous in space and time. Neurons at a particular location in the brain receive input from its local neighbors and from far distant neuronal populations. Both types of connectivity, local and global, contribute approximately equally to the complete connectivity, but differ qualitatively in their connection topology. The local connectivity is characterized by a connection density that monotonously decreases with the distance, typically independent of the location in the brain, whereas the global connectivity is characterized by sparse long-range connections (Connectome) between brain areas. In this chapter I discuss some developments of local-global descriptions of neural fields culminating in the international neuroscience project The Virtual Brain.

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Vorheriges Kapitel Equilibrium and Nonequilibrium Phase Transitions in a Continuum Model of an Anesthetized Cortex
Nächstes Kapitel Neural Fields, Masses and Bayesian Modelling
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Metadaten
Titel
Large Scale Brain Networks of Neural Fields
verfasst von
Viktor Jirsa
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Neural Fields

Print ISBN: 978-3-642-54592-4

Electronic ISBN: 978-3-642-54593-1

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-54593-1_16

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