Journal of Computational Neuroscience

, Volume 9, Issue 3, pp 271–291 | Cite as

Alpha-Frequency Rhythms Desynchronize over Long Cortical Distances: A Modeling Study

  • Stephanie R. Jones
  • David J. Pinto
  • Tasso J. Kaper
  • Nancy Kopell

Abstract

Neocortical networks of excitatory and inhibitory neurons can display alpha(α)-frequency rhythms when an animal is in a resting or unfocused state. Unlike some γ- and β-frequency rhythms, experimental observations in cats have shown that these α-frequency rhythms need not synchronize over long cortical distances. Here, we develop a network model of synaptically coupled excitatory and inhibitory cells to study this asynchrony. The cells of the local circuit are modeled on the neurons found in layer V of the neocortex where α-frequency rhythms are thought to originate. Cortical distance is represented by a pair of local circuits coupled with a delay in synaptic propagation. Mathematical analysis of this model reveals that the h and T currents present in layer V pyramidal (excitatory) cells not only produce and regulate the α-frequency rhythm but also lead to the occurrence of spatial asynchrony. In particular, these inward currents cause excitation and inhibition to have nonintuitive effects in the network, with excitation delaying and inhibition advancing the firing time of cells; these reversed effects create the asynchrony. Moreover, increased excitatory to excitatory connections can lead to further desynchronization. However, the local rhythms have the property that, in the absence of excitatory to excitatory connections, if the participating cells are brought close to synchrony (for example, by common input), they will remain close to synchrony for a substantial time.

rhythms synchrony cortex alpha attention 

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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Stephanie R. Jones
    • 1
  • David J. Pinto
    • 2
    • 3
  • Tasso J. Kaper
    • 2
  • Nancy Kopell
    • 2
  1. 1.Department of Mathematics and Center for BioDynamicsBoston UniversityBoston
  2. 2.Department of Mathematics and Center for BioDynamicsBoston UniversityBoston
  3. 3.Department of NeuroscienceBrown UniversityProvidence

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