Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Down Under Neural Population Models

  • David LileyEmail author
Living reference work entry

Latest version View entry history

DOI: https://doi.org/10.1007/978-1-4614-7320-6_56-2

Definition

Australia and New Zealand, despite their relatively small academic communities, have been vibrant sites for the development and application of a number of important approaches to the mesoscopic modeling of neural populations, developed initially to account for the physiological genesis of rhythmic activity in the mammalian electroencephalogram. These models are collectively referred to as “down under” neural population models.

Detailed Description

History

The work of Wright (Wright and Kydd 1984), which aimed theoretically to account for the regulatory effects of lateral hypothalamic activity on electrocortical activity, can be seen as the progenitor of the later “down under” models that were developed to account for electrocortical rhythmogenesis. In this approach telencephalon was functionally modeled as a mass of coupled linear oscillators. While largely phenomenological and not formulated in terms of the structure and composition of cortical tissue, this theory...

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References

  1. Liley DTJ, Cadusch PJ, Wright JJ (1999) A continuum theory of electro-cortical activity. Neurocomp 26–27:795–800CrossRefGoogle Scholar
  2. Liley DTJ, Cadusch PJ, Dafilis MP (2002) A spatially continuous mean field theory of electrocortical activity. Network 13:67–113PubMedCrossRefGoogle Scholar
  3. Robinson PA, Rennie CJ, Wright JJ (1997) Propagation and stability of waves of electrical activity in the cerebral cortex. Phys Rev E 56:826–840CrossRefGoogle Scholar
  4. Robinson PA, Rennie CJ, Rowe DL (2002) Dynamics of large-scale brain activity in normal arousal states and epileptic seizures. Phys Rev E 65:041,924CrossRefGoogle Scholar
  5. Robinson PA, Rennie CJ, Rowe DL, O’Connor SC (2004) Estimation of multiscale neurophysiologic parameters by electroencephalographic means. Hum Brain Mapp 23(1):53–72PubMedCrossRefGoogle Scholar
  6. Steyn-Ross ML, Steyn-Ross DA, Wilson MT, Sleigh JW (2007) Gap junctions mediate large-scale Turing structures in a mean-field cortex driven by subcortical noise. Phys Rev E Stat Nonlin Soft Matter Phys 76(1 Pt 1):011,916CrossRefGoogle Scholar
  7. Wright JJ, Kydd RR (1984) A linear theory for global electrocortical activity and its control by the lateral hypothalamus. Biol Cybern 50(2):75–82PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Brain and Psychological Sciences Research CentreSwinburne University of TechnologyHawthornAustralia