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Excitation/Inhibition Patterns in a System of Coupled Cortical Columns

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 8681)

Abstract

We study how excitation and inhibition are distributed mesoscopically in small brain regions, by means of a computational model of coupled cortical columns described by neural mass models. Two cortical columns coupled bidirectionally through both excitatory and inhibitory connections can spontaneously organize in a regime in which one of the columns is purely excitatory and the other is purely inhibitory, provided the excitatory and inhibitory coupling strengths are adequately tuned. We also study the case of three columns in different coupling configurations (linear array and all-to-all coupling), finding abrupt transitions between heterogeneous and homogeneous excitatory/inhibitory patterns and strong multistability in their distribution.

Keywords

  • Coupling Strength
  • Inhibitory Connection
  • Cortical Column
  • Neural Mass Model
  • Pyramidal Population

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Malagarriga, D., Villa, A.E.P., García-Ojalvo, J., Pons, A.J. (2014). Excitation/Inhibition Patterns in a System of Coupled Cortical Columns. In: , et al. Artificial Neural Networks and Machine Learning – ICANN 2014. ICANN 2014. Lecture Notes in Computer Science, vol 8681. Springer, Cham. https://doi.org/10.1007/978-3-319-11179-7_82

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  • DOI: https://doi.org/10.1007/978-3-319-11179-7_82

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11178-0

  • Online ISBN: 978-3-319-11179-7

  • eBook Packages: Computer ScienceComputer Science (R0)