Effects of synaptic plasticity on phase and period locking in a network of two oscillatory neurons.
Effects of synaptic plasticity on phase and period locking in a network of two oscillatory neurons.
复制标题
DOI：
10.1186/2190-8567-4-8
复制
发表时间：
2014
影响因子：
2.3
通讯作者：
Nadim F
中科院分区：
文献类型：
--
作者：
Akcay Z;Bose A;Nadim F
我们研究了突触可塑性对两个振荡神经元相互抑制的网络中放电周期和相对相位的影响。我们将神经元的相位响应曲线与突触的短期突触可塑性特性结合起来，定义了振荡网络活动的庞加莱图。这些图的定点对应于网络的锁相模式。这些映射允许我们分析结果网络活动对网络组件属性的依赖性。通过分析和仿真相结合，我们展示了模型的不同参数如何影响锁相解的存在性和稳定性。我们发现突触可塑性剖面和神经元的相位响应曲线的条件，使网络能够保持恒定的放电周期，而改变神经元之间的锁相，反之亦然。对二维映射的蛛网现象进行了推广。
We study the effects of synaptic plasticity on the determination of firing period and relative phases in a network of two oscillatory neurons coupled with reciprocal inhibition. We combine the phase response curves of the neurons with the short-term synaptic plasticity properties of the synapses to define Poincaré maps for the activity of an oscillatory network. Fixed points of these maps correspond to the phase-locked modes of the network. These maps allow us to analyze the dependence of the resulting network activity on the properties of network components. Using a combination of analysis and simulations, we show how various parameters of the model affect the existence and stability of phase-locked solutions. We find conditions on the synaptic plasticity profiles and the phase response curves of the neurons for the network to be able to maintain a constant firing period, while varying the phase of locking between the neurons or vice versa. A generalization to cobwebbing for two-dimensional maps is also discussed.