Organization of anti-phase synchronization pattern in neural networks: what are the key factors?

Frontiers in Systems Neuroscience

卷:5

Dong eLi¹  Changsong eZhou¹ 

[1] Hong Kong Baptist University;

关键词: delay time;    Anti-phase;    Connection density;    Excitatory and inhibitory couplings;    Modular network;   

DOI  :  10.3389/fnsys.2011.00100

来源: DOAJ

【 摘 要 】

Anti-phase oscillation has been widely observed in cortical neuralnetwork. Elucidating the mechanism underlying the organization ofanti-phase patternis of significance for better understanding morecomplicated pattern formations in brain networks. In dynamicalsystems theory, the organization of anti-phase oscillation patternhas usually been considered to relate to time-delay in coupling.This is consistent to conduction delays in real neural networks inthe brain due to finite propagation velocity of action potentials.However, other structural factors in cortical neural network, suchas modular organization (connection density) andthe coupling types(excitatory or inhibitory), could also play an important role. Inthis work, we investigate the anti-phase oscillation patternorganized on a two-module network of either neuronal cell model orneural mass model, and analyze the impact of the conduction delaytimes, the connection densities, and coupling types. Our resultsshow that delay times and coupling types can play key roles in thisorganization. The connection densities may have an influence on thestability if an anti-phase pattern exists due to the other factors.Furthermore, we show that anti-phase synchronization of slowoscillations can be achieved with small delay times if there isinteraction between slow and fast oscillations. These results aresignificant for further understanding more realistic spatiotemporaldynamics of cortico-cortical communications.

【 授权许可】

Unknown