Fractal neural networks for short term memory

Synaptic connection matrix encodes limited information. It is well known that neural network memory with storage prescriptions based on Hebb's rule will collapse as more patterns are stored. By requiring that old patterns be automatically forgotten and the memory recall only the most recently ones, a new short-term neural network memory based on Y. Baram's fractal neural network is obtained. Comparison is drawn with Morris and Wong's method and the experimental results are shown to be rather satisfactory and encouraging. >