Multi-attractor Coexisting in Discrete-time Neural Network oscillator
HE Dai-ha, Jian-Xue Xu · Journal of Circuits and Systems · 1999
An analytic and computational study of the dynamics of coupled discrete-time neural network oscillators ispresented, with special emphasis on the oscillators having coexisting multi-attractors and attfacting basin boundny (unstableinvariant period and quasi-period cycle ).The effects of multi-attractors coexisting and various coupling stnJctllres onfrequency locking which is interesting to neural information processing such as stimulus-dependent synchronization andpattern formation are investigatod.