Nash equilibria in multineuron games

An isomorphism is constructed between a neural network and a simple game. The equilibrium results of Nash can then be applied to the neural network. In particular, if the connecting matrix of the network is symmetric, the equilibrium can be found as the solution to an optimization problem.