Stewart Robert D, Gurney Kevin N
Department of Psychology, University of Sheffield, Sheffield, S10 2TP, UK.
J Comput Neurosci. 2011 Jun;30(3):721-8. doi: 10.1007/s10827-010-0288-6. Epub 2010 Nov 3.
Spiking neural network simulations incorporating variable transmission delays require synaptic events to be scheduled prior to delivery. Conventional methods have memory requirements that scale with the total number of synapses in a network. We introduce novel scheduling algorithms for both discrete and continuous event delivery, where the memory requirement scales instead with the number of neurons. Superior algorithmic performance is demonstrated using large-scale, benchmarking network simulations.
包含可变传输延迟的脉冲神经网络模拟要求在传递之前安排突触事件。传统方法的内存需求与网络中突触的总数成比例。我们针对离散和连续事件传递引入了新颖的调度算法，其中内存需求与神经元的数量成比例。通过大规模的基准网络模拟证明了卓越的算法性能。
