Bio-Inspired Sensor Design with an Array of Coupled Lasers

The basic idea of the paper is to use neurocomputational features of weakly connected neural networks of oscillators in pattern recognition. Stable synchronized states of the neural networks where artificial neurons are lasers with equal natural frequencies are prespecified with connection matrices. A set of memorized patterns are associated with the prescribed equilibria in phase relations with which neurons oscillate. Any pattern to be recognized in the neighborhood of the memorized patterns will reach the corresponding stable synchronized state. Phase locking takes part in the recognition mechanism. Kuramoto´s model is used in designing equilibria of laser networks.