Dynamical coherence patterns in neural field model at criticality

  • Authors:

  • Teerasit Termsaithong;Makito Oku;Kazuyuki Aihara

  • Affiliations:

  • Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan 113-8656;Institute of Industrial Science, University of Tokyo, Tokyo, Japan 153-8505;Institute of Industrial Science, University of Tokyo, Tokyo, Japan 153-8505

  • Venue:
  • Artificial Life and Robotics
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Phase synchronization is a mechanism that plays a crucial role in information processing in the brain, and coherence is one of the factors used to evaluate the pairwise degree of phase synchronization. Coherence is also an important measure for examining brain functions because it implies communication and cooperation among neurons. In this work, we study the coherence patterns of spontaneous activity in a neural field model at criticality where a second-order phase transition occurs with special properties that differentiate it from other regions. The results are summarized as follows. First, in high-frequency bands, the system outside the critical region is unable to communicate efficiently via phase synchronization. Second, the dynamical coherence patterns at the criticality show switching between high and low coherence states. Finally, we found that in a very brief period, there is high broadband coherence between some pairs of spatial points. This phenomenon can be observed only in the critical region.