Int J Neural Syst - Modeling fluctuations in default-mode brain network using a spiking neural network.

Tópicos

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Resumo

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 0.1 Hz 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.

Resumo Limpo

recent numer attempt made understand dynam behavior complex brain system use neural network model fluctuat bloodoxygenleveldepend bold brain signal less hz observ function magnet reson imag fmri subject rest state phenomenon refer defaultmod brain network studi model defaultmod brain network function connect neural communiti compos spike neuron complex network comput simul model includ transmiss delay complex connect network dynam neural system behavior discuss result show power spectrum model fluctuat neuron fire pattern consist defaultmod brain network bold signal transmiss delay characterist properti brain finit valu given rang

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