COMPLEX BEHAVIOR OF NEURAL NETWORK WITH REALISTIC NEURONS
现实神经元模型以及其复杂行为表现

A network based on a realistic neural model was constituted and the dynamic properties of the network were studied under different input stimuli in this paper. The results of computer simulation demonstrate that the output of the network is an EEG-like waveform while a steady stimulus is given and the output displayS an evoked potential (EP-like) aCtivity under a periodic stimulus. We also analyzed the complex behavior of EEG-like waveform, such as spectrum analysis, reconstfuction of the phase space, plane pro join and Poincare Maps, the correlation dimension, and so on.