Neural adaptive sensory processing for undersea sonar

Neural adaptive beamformers (NABFs) utilize neural paradigms to accomplish desired adaptations that are associated with sensory-field-responsive partitioning and selection processes. Kohonen-type organization and Hopfield-type optimization have been formulated as NABF mechanisms and have been applied to test data. Formulations and results are included. NABFs are also used in conjunction with a learning network for interpretation of weight sets as population codings of direction. An example is included. Desirable qualities of human auditory response are being interpreted in the context of neural adaptive beamforming for the purpose of creating an integrated processing structure that incorporates NABFs, a cochlear model, and an associative memory as part of a total spatiotemporal processing scheme for selective attention