A state-constrained model for cellular nonlinear network optimization.

Describes a GmC-style state constrained neuron (SCN) model for the design of processors in analog recurrent neural networks such as Hopfield neural networks. State-constrained neural network for optimization; Circuit implementation; Optimization theory based on GmC SCN; Comparison between constrained and unconstrained networks.