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原发性视皮层最简多层模型中的同步混沌与宽带伽马节律。

Synchronous chaos and broad band gamma rhythm in a minimal multi-layer model of primary visual cortex.

机构信息

Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.

出版信息

PLoS Comput Biol. 2011 Oct;7(10):e1002176. doi: 10.1371/journal.pcbi.1002176. Epub 2011 Oct 6.

Abstract

Visually induced neuronal activity in V1 displays a marked gamma-band component which is modulated by stimulus properties. It has been argued that synchronized oscillations contribute to these gamma-band activity. However, analysis of Local Field Potentials (LFPs) across different experiments reveals considerable diversity in the degree of oscillatory behavior of this induced activity. Contrast-dependent power enhancements can indeed occur over a broad band in the gamma frequency range and spectral peaks may not arise at all. Furthermore, even when oscillations are observed, they undergo temporal decorrelation over very few cycles. This is not easily accounted for in previous network modeling of gamma oscillations. We argue here that interactions between cortical layers can be responsible for this fast decorrelation. We study a model of a V1 hypercolumn, embedding a simplified description of the multi-layered structure of the cortex. When the stimulus contrast is low, the induced activity is only weakly synchronous and the network resonates transiently without developing collective oscillations. When the contrast is high, on the other hand, the induced activity undergoes synchronous oscillations with an irregular spatiotemporal structure expressing a synchronous chaotic state. As a consequence the population activity undergoes fast temporal decorrelation, with concomitant rapid damping of the oscillations in LFPs autocorrelograms and peak broadening in LFPs power spectra. We show that the strength of the inter-layer coupling crucially affects this spatiotemporal structure. We predict that layer VI inactivation should induce global changes in the spectral properties of induced LFPs, reflecting their slower temporal decorrelation in the absence of inter-layer feedback. Finally, we argue that the mechanism underlying the emergence of synchronous chaos in our model is in fact very general. It stems from the fact that gamma oscillations induced by local delayed inhibition tend to develop chaos when coupled by sufficiently strong excitation.

摘要

V1 中的视觉诱导神经元活动表现出明显的伽马波段成分,其受到刺激特性的调制。有人认为同步振荡有助于这种伽马波段活动。然而,对不同实验中的局部场电位(LFPs)的分析表明,这种诱导活动的振荡行为程度存在相当大的多样性。对比度依赖性的功率增强确实可以在伽马频率范围内的宽带中发生,并且光谱峰值可能根本不会出现。此外,即使观察到振荡,它们在很少的周期内也会经历时间去相关。这在以前的伽马振荡网络模型中不容易解释。我们认为,皮层各层之间的相互作用可能是导致这种快速去相关的原因。我们研究了一个 V1 超柱的模型,嵌入了皮层多层结构的简化描述。当刺激对比度较低时,诱导活动只有较弱的同步性,网络会短暂共振,而不会发展出集体振荡。另一方面,当对比度较高时,诱导活动会经历具有不规则时空结构的同步振荡,表现出同步混沌状态。因此,群体活动经历快速的时间去相关,同时 LFPs 自相关图中的振荡迅速衰减,LFPs 功率谱中的峰值变宽。我们表明,层间耦合的强度对这种时空结构具有关键影响。我们预测,层 VI 失活应该会导致诱导 LFPs 的光谱特性发生全局变化,反映出在没有层间反馈的情况下它们较慢的时间去相关。最后,我们认为我们模型中同步混沌出现的机制实际上非常普遍。它源于局部延迟抑制诱导的伽马振荡在受到足够强的兴奋耦合时往往会发展为混沌的事实。

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