A neural searchlight processor that differentiates any images with common features by transitory synchronization

The neural cocktail-party processor (NCPP) is known as a theoretical model of the visual binding by coherent oscillation of neurons, a hypothesis that transitory synchronization of neuronal activities might link fragmentarily represented visual information in the widely spaced areas of the brain to establish coherent images. However, NCPP was made under an assumption that the images to be recognized have no common features. If there are any common features the synchronization among cells is disturbed and the network cannot recognize the images correctly. The authors therefore developed a network, called the neural searchlight processor (NSP), that recognizes images by transitory synchronization allowing common features between images in the input pattern. The mechanism and results of computer simulation of NCPP are described. Then the structure and simulation of NSP are explained by comparison with NCPP.<
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