Threshold Noise as a Source of Volatility in Random Synchronous Asymmetric Neural Networks

Details Threshold Noise as a Source of Volatility in Random Synchronous Asymmetric Neural Networks Threshold Noise as a Source of Volatility in Random Synchronous Asymmetric Neural Networks

1997-12-12

arxiv.org/abs/cond-mat/9712132v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

17 pages, 11 figures, submitted to Neural Computation

Scientific paper

We study the diversity of complex spatio-temporal patterns of random synchronous asymmetric neural networks (RSANNs). Specifically, we investigate the impact of noisy thresholds on network performance and find that there is a narrow and interesting region of noise parameters where RSANNs display specific features of behavior desired for rapidly `thinking' systems: accessibility to a large set of distinct, complex patterns.

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