论文标题
通过峰值计时依赖性可塑性在伽马频段中的强烈节律发生
Robust Rhythmogenesis in the Gamma Band via Spike Timing Dependent Plasticity
论文作者
论文摘要
在从昆虫到人类以及广泛的认知任务的许多动物物种中观察到了伽马条带（30-100Hz）中的节奏活性。各种实验和理论研究研究了这种节奏活性。理论上的工作主要集中在神经元动力学上，因为网络连接能够满足产生γ振荡所需的某些微调条件。但是，目前尚不清楚如何实现这种微调。 在这里，我们研究了以下假设：尖峰时序依赖性可塑性（STDP）可以提供调谐突触连通性的潜在机制，以在伽马频带中产生节奏活性。我们在一项建模研究中解决了这个问题。我们在兴奋性和抑制性神经元人群网络的框架内检查了STDP动力学，这些兴奋性和抑制性神经元人群被认为是伽马产生的基础。突触权重动力学的平均场Fokker Planck方程以缓慢学习的极限得出。我们借鉴了此近似值，以确定哪种类型的STDP规则驱动系统以表现出γ振荡，并演示表征可塑性规则的参数如何控制节奏活动。最后，我们提出了一种新型机制，可以确保通常，特别是为了节律发生的自我发展过程的鲁棒性。
Rhythmic activity in the gamma band (30-100Hz) has been observed in numerous animal species ranging from insects to humans, and in relation to a wide range of cognitive tasks. Various experimental and theoretical studies have investigated this rhythmic activity. The theoretical efforts have mainly been focused on the neuronal dynamics, under the assumption that network connectivity satisfies certain fine-tuning conditions required to generate gamma oscillations. However, it remains unclear how this fine tuning is achieved. Here we investigated the hypothesis that spike timing dependent plasticity (STDP) can provide the underlying mechanism for tuning synaptic connectivity to generate rhythmic activity in the gamma band. We addressed this question in a modeling study. We examined STDP dynamics in the framework of a network of excitatory and inhibitory neuronal populations that has been suggested to underlie the generation of gamma. Mean field Fokker Planck equations for the synaptic weights dynamics are derived in the limit of slow learning. We drew on this approximation to determine which types of STDP rules drive the system to exhibit gamma oscillations, and demonstrate how the parameters that characterize the plasticity rule govern the rhythmic activity. Finally, we propose a novel mechanism that can ensure the robustness of self-developing processes, in general and for rhythmogenesis in particular.
