COMPLEXITY OF A "SIMPLE" REALISTIC NEURAL NETWORK MODEL
动态神经元网络模型的复杂性问题

Irregular oscillation was observed in observed in our realistic neural network model composed of onlythree neurons under constant external stimuli.Such phenomenon was analyzed using some complexity measure developed by Lempel and Ziv.The results showed that at least for animpulse train of a neuron,up to 1000 impulses showed no trace for any periodicity,and its complexity could be compared with a temporal series series from a logistic mapping while its parameter was within chaotic areas.The results also showed that this measure was a good wayto distinguish long period oscillation from a nonperiodic oscillation within the time domain wecould observe.The above results hint that some of the so called noise in neurophysiological recording might be due to the nonlinear nature of living neurons.