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How to Render Neural Fields More Realistic

  • Axel HuttEmail author
  • Meysam Hashemi
  • Peter beim Graben
Chapter
Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 14)

Abstract

Conventional neural field models describe well some experimental data, such as Local Field Potentials or electroencephalographic data. The work reviews recent extensions of neural field models and describes the activation and attenuation of spectral power in certain frequency bands subjected to the statistical properties of an external input and subjected to the properties of synaptic receptor efficacy and the heteroclinic transitions between meta-stable state as a model for event-related potentials.

Keywords

Systems Kernels Heteroclinic orbits Input Models 

Notes

Acknowledgements

The authors thank Stefan Frisch and Heiner Drenhaus for conducting the ERP experiment. AH and MH acknowledge funding from the European Research Council for support under the European Union’s Seventh Framework Programme (FP7/2007-2013) ERC grant agreement No.257253. PbG acknowledges financial support through a Heisenberg Fellowship of the German Research Foundation DFG (GR 3711/1-2).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Axel Hutt
    • 1
    • 2
    • 3
    Email author
  • Meysam Hashemi
    • 1
    • 2
    • 3
  • Peter beim Graben
    • 4
  1. 1.INRIA Grand Est—NancyTeam NEUROSYSVillers-lès-NancyFrance
  2. 2.CNRSLoriaVandoeuvre-lès-NancyFrance
  3. 3.Universitè de Lorraine, LoriaVandoeuvre-lès-NancyFrance
  4. 4.Department of German Studies and LinguisticsHumboldt-Universität zu Berlin and Bernstein Center for Computational NeuroscienceBerlinGermany

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