Fast Sparsely Synchronized Brain Rhythms in A Scale-Free Neural Network

Abstract

We consider a directed Barabási-Albert scale-free network model with symmetric preferential attachment with the same in- and out-degrees, and study emergence of sparsely synchronized rhythms for a fixed attachment degree in an inhibitory population of fast spiking Izhikevich interneurons. For a study on the fast sparsely synchronized rhythms, we fix $J$ (synaptic inhibition strength) at a sufficiently large value, and investigate the population states by increasing $D$ (noise intensity). For small $D$, full synchronization with the same population-rhythm frequency $f_p$ and mean firing rate (MFR) $f_i$ of individual neurons occurs, while for sufficiently large $D$ partial synchronization with $f_p>⟨f_i⟩$ ($⟨f_i⟩$: ensemble-averaged MFR) appears due to intermittent discharge of individual neurons; particularly, the case of $f_p>4⟨f_i⟩$ is referred to as sparse synchronization. Only for the partial and sparse synchronization, MFRs and contributions of individual neuronal dynamics to population synchronization change depending on their degrees, unlike the case of full synchronization. Consequently, dynamics of individual neurons reveal the inhomogeneous network structure for the case of partial and sparse synchronization, which is in contrast to the case of statistically homogeneous random graphs and small-world networks. Finally, we investigate the effect of network architecture on sparse synchronization in the following three cases: (1) variation in the degree of symmetric attachment (2) asymmetric preferential attachment of new nodes with different in- and out-degrees (3) preferential attachment between pre-existing nodes (without addition of new nodes). In these three cases, both relation between network topology and sparse synchronization and contributions of individual dynamics to the sparse synchronization are discussed.

54 pages, 13 figures. arXiv admin note: text overlap with arXiv:1403.1034

References in corpus (6)

• Scale-free brain functional networks
• Synchronous bursts on scale-free neuronal networks with attractive and repulsive coupling
• Synchronization transitions on scale-free neuronal networks due to finite information transmission delays
• Simulation of Robustness against Lesions of Cortical Networks
• Realistic Thermodynamic and Statistical-Mechanical Measures for Neural Synchronization
• Statistical-Mechanical Measure of Stochastic Spiking Coherence in A Population of Inhibitory Subthreshold Neurons

Cited by in corpus (2)

• Effect of Inter-Modular Connection on Fast Sparse Synchronization in Clustered Small-World Neural Networks
• Two Cumulative Distributions For Scale-freeness of Dynamic Networks