Attractors in Neurodynamical Systems
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.
Neurodynamics Attractor networks Symbolic dynamics Multidimensional time series visualization
Wlodzisiaw Duch Krzysztof Dobosz
Department of Informatics, Nicolaus Copernicus University, Torun, Poland
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
157-162
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）