General properties of realistic neural network dynamics

The role of symmetry in the dynamics of the Realistic Neural Network model is studied. The phase diagram for Symmetric Realistic Neural Network with an external input of the constrained in time action is constructed. The oscillation regimes are investigated. For RNN of general form, the mean-field approximation is obtained.