Luk W K, Aihara K
The Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo, Japan.
Biol Cybern. 2000 Jun;82(6):455-67. doi: 10.1007/s004220050598.
Recent experimental results imply that inhibitory postsynaptic potentials can play a functional role in realizing synchronization of neuronal firing in the brain. In order to examine the relation between inhibition and synchronous firing of neurons theoretically, we analyze possible effects of synchronization and sensitivity enhancement caused by inhibitory inputs to neurons with a biologically realistic model of the Hodgkin-Huxley equations. The result shows that, after an inhibitory spike, the firing probability of a single postsynaptic neuron exposed to random excitatory background activity oscillates with time. The oscillation of the firing probability can be related to synchronous firing of neurons receiving an inhibitory spike simultaneously. Further, we show that when an inhibitory spike input precedes an excitatory spike input, the presence of such preceding inhibition raises the firing probability peak of the neuron after the excitatory input. The result indicates that an inhibitory spike input can enhance the sensitivity of the postsynaptic neuron to the following excitatory spike input. Two neural network models based on these effects on postsynaptic neurons caused by inhibitory inputs are proposed to demonstrate possible mechanisms of detecting particular spatiotemporal spike patterns.
最近的实验结果表明,抑制性突触后电位在实现大脑神经元放电同步方面可能发挥功能性作用。为了从理论上研究抑制与神经元同步放电之间的关系,我们使用霍奇金 - 赫胥黎方程的生物现实模型,分析抑制性输入对神经元同步和敏感性增强的可能影响。结果表明,在一个抑制性尖峰之后,暴露于随机兴奋性背景活动的单个突触后神经元的放电概率随时间振荡。放电概率的振荡可能与同时接收到抑制性尖峰的神经元的同步放电有关。此外,我们表明,当抑制性尖峰输入先于兴奋性尖峰输入时,这种先前抑制的存在会提高兴奋性输入后神经元的放电概率峰值。结果表明,抑制性尖峰输入可以增强突触后神经元对随后兴奋性尖峰输入的敏感性。基于抑制性输入对突触后神经元的这些影响,提出了两个神经网络模型,以展示检测特定时空尖峰模式的可能机制。