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Rich Dynamics Induced by Synchronization Varieties in the Coupled Thalamocortical Circuitry Model

机译:丘脑皮层耦合电路模型中同步品种引起的丰富动力学

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Epileptic disorders are typically characterized by the synchronous spike-wave discharges (SWD). However, the mechanism of SWD is not well-understood in terms of its synchronous spatio-temporal features. In this paper, based on the coupled thalamocortical (TC) neural field models we first investigate the SWD complete synchronization (CS), lag synchronization (LS) and anticipated synchronization (AS) mainly using the adaptive delayed feedback (ADF) and active control (AC). Then we explore the dynamics of 3-compartment coupled TC motifs with the interactive connectivity patterns of ADF and AC, as well as the various interactive weights. It is found that CS, LS and AS of motifs can coexist and transit between each other by changing the various interactive modes and weights. These results provide the complementary synchronization effects and conditions for the basic 3-node motifs. This may facilitate to construct the architecture based on patient EEG data and reveal the abnormal information expression of epileptic oscillatory network.
机译:癫痫疾病通常以同步尖峰波放电(SWD)为特征。然而,就其同步时空特征而言,SWD的机理尚不为人所理解。本文基于耦合的丘脑皮质(TC)神经场模型,我们首先研究SWD完全同步(CS),滞后同步(LS)和预期同步(AS),主要使用自适应延迟反馈(ADF)和主动控制( AC)。然后,我们通过ADF和AC的交互连接模式以及各种交互权重,探索了三室耦合TC图案的动力学。发现通过改变各种交互方式和权重,图案的CS,LS和AS可以共存并在彼此之间转换。这些结果为基本的3节点图案提供了互补的同步效果和条件。这可能有助于基于患者的EEG数据构建架构,并揭示癫痫振荡网络的异常信息表达。

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