Studying a Chaotic Spiking Neural Model
作者： Mohammad Alhawarat , Waleed Nazih , Mohammad Eldesouki
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摘要: Dynamics of a chaotic spiking neuron model are being studied mathematically and experimentally. The Nonlinear Dynamic State (NDS) is analysed to further understand the improve it. Chaos has many interesting properties such as sensitivity initial conditions, space filling, control synchronization. As suggested by biologists, these may be exploited play vital role in carrying out computational tasks human brain. NDS some limitations; thus paper investigated overcome limitations order enhance model. Therefore, models parameters tuned resulted dynamics studied. Also, discretization method considered. Moreover, mathematical analysis carried reveal underlying after tuning its parameters. results aforementioned methods revealed facts regarding attractor suggest stabilization large number unstable periodic orbits (UPOs) which might correspond memories phase space.
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