A Phasor Model with Resting States
Teruyuki Miyajima, Fumihito Baisho, Kazuo Yamanaka, Kazuhiko Nakamura, Masahiro Agu · IEICE Transactions on Information and Systems · 2000
SUMMARY A new phasor model of neural networks is proposed in which the state of each neuron possibly takes the value at the origin as well as on the unit circle. A stability property of equilibria is studied in association with the energy landscape. It is shown that a simple condition guarantees an equilibrium to be