RANDOM NETS CONSISTING OF EXCITATORY AND INHIBITORY NEURON-LIKE ELEMENTS.
syunichi amari · Institutional Repositories DataBase (IRDB) · 1972
Random nets consisting of many different classes of elements are analyzed and the macroscopic state equations are derived. Special attention is paid to nets of randomly connected excitatory and inhibitory elements. It is shown that such a net may have either one, two or three stable states. On the other hand, it may in fact have no stable states, according to the statistical parameters. It is shown that a stable oscillation exists in the latter case. It is interesting to note that no stable oscillations exist in a net composed of one homogeneous class of elements. The results are checked by computer-simulated experiments.