Multiple cusp bifurcations

نویسنده

  • Eugene M. Izhikevich
چکیده

The cusp bifurcation provides one of the simplest routes leading to bistability and hysteresis in neuron dynamics. We show that weakly connected networks of neurons near cusp bifurcations that satisfy a certain adaptation condition have quite interesting and complicated dynamics. First, we prove that any such network can be transformed into a canonical model by an appropriate continuous change of variables. Then we show that the canonical model can operate as a multiple attractor neural network or as a globally asymptotically stable neural network depending on the choice of parameters.

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عنوان ژورنال:
  • Neural networks : the official journal of the International Neural Network Society

دوره 11 3  شماره 

صفحات  -

تاریخ انتشار 1998