A new phasor model of neural networks is proposed in which the state of eac
h neuron possibly takes the value at the origin as well as on the unit circ
le. A stability property of equilibria is studied in association with the e
nergy landscape. It is shown that a simple condition guarantees an equilibr
ium to be asymptotically stable.