Fukai T
Department of Electronics, Tokai University, Kanagawa, Japan.
Neuroreport. 1995 Dec 29;7(1):273-7.
In cortical information processing, neuronal inputs are transformed into sequences of action potentials. However, the neural codes used for embedding information in the spike trains remain unclear. Here a neural network consisting of recurrent inhibitory connections is shown to achieve selective activation and inactivation of neurones very efficiently according to spike timing rather than firing rates, when they are stimulated by periodic spike trains. Oscillatory neural activities serve as an accurate clock for the spike-timing code utilized in the rapid selection of neural activities. These results suggest that differences in spike timing of < 1 ms can be of functional significance in certain neural information processing.
在皮层信息处理过程中，神经元输入会转化为动作电位序列。然而，用于在尖峰序列中嵌入信息的神经编码仍不清楚。在这里，当由周期性尖峰序列刺激时，一个由循环抑制性连接组成的神经网络被证明能够根据尖峰时间而非发放率非常有效地实现神经元的选择性激活和失活。振荡性神经活动作为一种精确的时钟，用于在快速选择神经活动时所使用的尖峰时间编码。这些结果表明，小于1毫秒的尖峰时间差异在某些神经信息处理中可能具有功能意义。
