2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/27957We 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.17 pages, 11 figures, submitted to Neural ComputationDisordered Systems and Neural NetworksAdaptation and Self-Organizing SystemsBiological PhysicsNeurons and Cognitiontext