title: A nonlinear dynamics model for simulating long range correlations of cognitive bistability.
abstract: Simulation results of bistable perception due to ambiguous visual stimuli are presented which are obtained with a behavioral nonlinear dynamics model using perception-attention-memory coupling. This model provides an explanation of recent experimental results of Gao et al. (Cogn Process 7:105-112, 2006a) and it supports their speculation that the fractal character of perceptual dominance time series may be understood in terms of nonlinear and reentrant dynamics of brain processing. Percept reversals are induced by attention fatigue and noise, with an attention bias which balances the relative percept duration. Dynamical coupling of the attention bias to the perception state introduces memory effects leading to significant long range correlations of perceptual duration times as quantified by the Hurst parameter H > 0.5 (Mandelbrot, The fractal geometry of nature, 1991), in agreement with Gao et al. (Cogn Process 7:105-112, 2006a).
authors.affiliation: German Aerospace Center, Institute of Flight Guidance, Lilienthalplatz 7, 38108 Braunschweig, Germany. norbert.fuerstenau@dlr.de
authors.forename: Norbert
authors.initials: N
authors.lastname: Fürstenau
mesh_terms: D000818:Animals; D001288:Attention / Q000502:physiology; D001683:Biological Clocks / Q000502:physiology; D001921:Brain / Q000502:physiology; D002540:Cerebral Cortex / Q000502:physiology; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation / Q000592:standards; D006801:Humans; D008568:Memory / Q000502:physiology; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology; D017711:Nonlinear Dynamics; D013788:Thalamus / Q000502:physiology; D013997:Time Factors; D014796:Visual Perception / Q000502:physiology*