Associative processor with memory based on neuron-like elements capable of temporal summation of input signals: processor for structural processing of information

In the report a model of associative processor with memory (APM) is considered. APM is a structural unit of the network consisting of neuron-like elements (NE) with temporal summation of input signals. APM realizes associative mapping of input information into signal space. This representation preserves the topology of perceptual space. On the basis of APM it is possible to build hierarchical structure for structural processing of the information.