Maass W, Natschläger T
Institute for Theoretical Computer Science, Technische Universität Graz, Austria.
Neural Comput. 2000 Jul;12(7):1679-704. doi: 10.1162/089976600300015303.
We investigate through theoretical analysis and computer simulations the consequences of unreliable synapses for fast analog computations in networks of spiking neurons, with analog variables encoded by the current firing activities of pools of spiking neurons. Our results suggest a possible functional role for the well-established unreliability of synaptic transmission on the network level. We also investigate computations on time series and Hebbian learning in this context of space-rate coding in networks of spiking neurons with unreliable synapses.
我们通过理论分析和计算机模拟，研究了在尖峰神经元网络中，对于由尖峰神经元池的当前放电活动编码的模拟变量进行快速模拟计算时，不可靠突触所产生的后果。我们的结果表明，突触传递中已确定的不可靠性在网络层面可能具有一种功能作用。我们还在具有不可靠突触的尖峰神经元网络的空间速率编码背景下，研究了时间序列计算和赫布学习。
