Journal
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
Volume 22, Issue 4, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0129065712500165
Keywords
Neuron model; slow fluctuation; network dynamics; synchronization; neural oscillation
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Funding
- Fukui University of Technology
- National Institute of Information and Communications Technology
- Japan Society for the Promotion of Science [C-21500962, C-22500638]
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Recently, numerous attempts have been made to understand the dynamic behavior of complex brain systems using neural network models. The fluctuations in blood-oxygen-level-dependent (BOLD) brain signals at less than 0.1Hz have been observed by functional magnetic resonance imaging (fMRI) for subjects in a resting state. This phenomenon is referred to as a default-mode brain network. In this study, we model the default-mode brain network by functionally connecting neural communities composed of spiking neurons in a complex network. Through computational simulations of the model, including transmission delays and complex connectivity, the network dynamics of the neural system and its behavior are discussed. The results show that the power spectrum of the modeled fluctuations in the neuron firing patterns is consistent with the default-mode brain network's BOLD signals when transmission delays, a characteristic property of the brain, have finite values in a given range.
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