Attractors in Neurodynamical Systems

Abstract

Analysis of the number, type and properties of attractors in complex neurodynamical systems is quite difficult. Fuzzy Symbolic Dynamics (FSD) creates visualization of trajectories that are easier to interpret than recurrence plots, showing basins of attractors. The variance of the trajectory within the attraction basin plotted against the variance of the synaptic noise provides some information about sizes and shapes of their basins. Semantic layer of dyslexia model implemented in the Emergent neural simulator is analyzed.