论文标题

兴奋性神经场中的介观集体活动:跨频耦合

Mesoscopic Collective Activity in Excitatory Neural Fields: Cross-frequency Coupling

论文作者

Qin, Yu, Sheremet, Alex

论文摘要

在大脑中,已经假设跨频耦合是由专门的微电路活性导致的。例如,假定theta-gamma耦合是由专门的细胞对(PING和ING机构)或特殊细胞(例如,快速爆发神经元)产生的。但是,这意味着生成机制对大脑独特。实际上,跨尺度耦合是在所有大型多尺度系统的物理学中遇到的一种现象:由于非线性相互作用而产生的不同尺度组件之间的相位和振幅相关性。由于大脑也是多尺度系统,因此类似的机制必须在大脑中活跃。在这里,我们代表大脑活动是由神经元种群支持的时空活动(集体活性)的非线性相互作用模式的叠加。跨频耦合是非线性相互作用的直接结果,不需要专门的细胞或细胞对。因此,它是普遍的,并且必须在任何组成的神经领域都活跃。为了强调这一点,我们证明了兴奋性领域的现象。毫无疑问,专门的细胞在theta-gamma耦合中起作用,但我们的结果表明,耦合机制同时更简单,更富裕:更简单:因为它涉及非线性的普遍原理。更富有,因为集体活动的非线性很可能是由专业细胞种群以尚未理解的方式调节的。

In the brain, cross-frequency coupling has been hypothesized to result from the activity of specialized microcircuits. For example, theta-gamma coupling is assumed to be generated by specialized cell pairs (PING and ING mechanisms), or special cells (e.g., fast bursting neurons). However, this implies that the generating mechanisms is uniquely specific to the brain. In fact, cross-scale coupling is a phenomenon encountered in the physics of all large, multi-scale systems: phase and amplitude correlations between components of different scales arise as a result of nonlinear interaction. Because the brain is a multi-scale system too, a similar mechanism must be active in the brain. Here, we represent brain activity as a superposition of nonlinearly interacting patterns of spatio-temporal activity (collective activity), supported by populations of neurons. Cross-frequency coupling is a direct consequence of the nonlinear interactions, and does not require specialized cells or cell pairs. It is therefore universal, and must be active in neural fields of any composition. To emphasize this, we demonstrate the phenomenon in excitatory fields. While there is no doubt that specialized cells play a role in theta-gamma coupling, our results suggest that the coupling mechanism is at the same time simpler and richer: simpler because it involves the universal principle of nonlinearity; richer, because nonlinearity of collective activity is likely modulated by specialized-cell populations in ways to be yet understood.

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