Stability and discriminative properties of the AMI model
Doan Bang Hoang, M. James · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
We consider a basic biologically plausible neural circuit that employs supragranular self-gain, negative feedback via inhibitory infragranular neuron. Such circuitry has been used as fundamental building blocks in the AMI (a model of intelligence) modular neural network. We derive the conditions for stability of an adaptive model of such a circuit with nonlinear self-gain and nonlinear adaptation characteristics. We also present the simulation results which demonstrate the discriminative property of the discriminative compartment of an AMI module.