Large Scale Brain Networks of Neural Fields

Viktor Jirsa ()
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Viktor Jirsa: Aix-Marseille University, Institute de Neurosciences des Systèmes, UMR Inserm 1106

Chapter Chapter 16 in Neural Fields, 2014, pp 417-432 from Springer

Abstract: 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 Connectivity , but differ qualitatively in their connection 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 Connectivity global 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 The Virtual Brain (TVB) .

Keywords: Brain Network; Functional Magnetic Resonance Image; Neural Field; Resting State Network; Neural Mass Model (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-54593-1_16

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DOI: 10.1007/978-3-642-54593-1_16

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