FIELD PROGRAMMABLE SYNAPSES ARRAY AND METHOD FOR PROGRAMMING THE SAME

摘要

The invention relates to a field programmable synapses array (FPSA) for integration into a neuronal network and to a method for programming the FPSA. The aim of the invention is to provide a modular analog neuronal integrated system which comprises flexible yet very complex blocks of neuronal networks for recognition and classification problems. The inventive method combines a plurality of network topologies on an integrated array. The array can be controlled and structured from the exterior and, once configured, is a self-learning classification system that operates autonomously. The FPSA is characterized by an optimized array of connections (synapses) that are optimized in themselves and that are implemented on an integrated system having modular structures as a "sea of synapses" having no topology, said structure forming a generic network of dendrites and axons. For the teaching the array, a linear function, a sigmoid function, a square function and a Gaussean function is used either individually or in combination.