Oscillating Firing and Loop Selection of Spiking Neurons’ Loop
Lu Feng · Jisuanji gongcheng · 2008
This paper brings forward a stochastic variable into a typical spiking neuron model that is proposed by Izhikevich in 2003. Improvement makes neuron firing stochastically. Status of networks’ firing consisting of some these neurons is tested. The experimental results indicate that, through setting appropriate connection weights, it can obtain oscillating firing. The loop can be selected from networks by the status of special oscillating firing status. The experiment accomplishes loop memory associative, then puts forward a new train of thought to study spiking neuron’s intelligence.