Araki, Osamu
(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)
We can recognize objects through receiving continuously huge temporal information including redundancy and noise, and can memorize them. This paper proposes a neural network model which extracts pre-recognized patterns ...