The Neural Basis of Expectation with Preliminary Applications
نویسنده
چکیده
Cortical neurons tuned to speciic stimuli, such as orientation-selective cells of area V1, have been found to respond with greater vigour when the stimulus is unexpected ((1]). Other neurons have been found which become active in anticipation of a stimulus which has not yet arrived. This paper introduces a neural architecture and accompanying unsupervised learning algorithm which can account for these observed characteristics. Computations that can be performed by this architecture are suggested, and simulations show how it can be applied to problems of image completion and novelty detection.
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