A hierarchical neural network model for selective attention

A neural network model, which has the function of selective attention in visual pattern recognition and in associative recall, is proposed and simulated on a digital computer. The model has the function of segmentation and pattern-recognition. When a composite stimulus consisting of two patterns or more is presented, the model focuses its attention selectively to one of them, segments it from the rest, and recognizes it. After that, the model switches its attention to recognize another pattern. The model also has the ability to restore an imperfect pattern, and can recall the complete pattern in which the defects have been corrected and the noise eliminated. These functions are performed successfully even if the input patterns are deformed in shape or shifted in position.