Fractal neural nets with sparse coding and low firing rates

An associative memory with fractal connections was studied. The performance of fractal neural network and randomly connected network were compared for the random patterns and fractally localized patterns, respectively. Since fractal patterns have very low activity level, the encoding scheme is sparse. We show numerically that the fractal neural network has a higher capability than randomly connected neural network for fractal pattern, but not for random patterns.