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Synchronous and asynchronous bursting states: role of intrinsic neural dynamics

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Abstract

Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect synchronization of cell assemblies that are engaged in a cognitive function. A type of pyramidal neurons, i.e., chattering neurons, show fast rhythmic bursting (FRB) in the gamma frequency range, and may play an active role in generating the gamma-band oscillations in the cerebral cortex. Our previous phase response analyses have revealed that the synchronization between the coupled bursting neurons significantly depends on the bursting mode that is defined as the number of spikes in each burst. Namely, a network of neurons bursting through a Ca2+-dependent mechanism exhibited sharp transitions between synchronous and asynchronous firing states when the neurons exchanged the bursting mode between singlet, doublet and so on. However, whether a broad class of bursting neuron models commonly show such a network behavior remains unclear. Here, we analyze the mechanism underlying this network behavior using a mathematically tractable neuron model. Then we extend our results to a multi-compartment version of the NaP current-based neuron model and prove a similar tight relationship between the bursting mode changes and the network state changes in this model. Thus, the synchronization behavior couples tightly to the bursting mode in a wide class of networks of bursting neurons.

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Authors and Affiliations

  1. Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan

    Takashi Takekawa & Tomoki Fukai

  2. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo, 606-8501, Kyoto, Japan

    Toshio Aoyagi

Authors
  1. Takashi Takekawa
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  2. Toshio Aoyagi
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  3. Tomoki Fukai
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Correspondence to Takashi Takekawa.

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Action Editor: Xiao-Jing Wang

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Takekawa, T., Aoyagi, T. & Fukai, T. Synchronous and asynchronous bursting states: role of intrinsic neural dynamics. J Comput Neurosci 23, 189–200 (2007). https://doi.org/10.1007/s10827-007-0027-9

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  • DOI: https://doi.org/10.1007/s10827-007-0027-9

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