Simulating Bistable Perception with Interrupted Ambiguous Stimulus using Self-Oscillator Dynamics with Percept Choice Bifurcation

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Kurzfassung

A behavioral stochastic self-oscillator model (Fürstenau 2010, Biol. Cybern. 103 (3) 175-198) is used for simulating interrupted ambiguous stimulus induced percept reversals with periodic stimu-lus-off times toff between 10 ms and 1 s. Statistical evaluation of the simulated reversal time series predicts a maximum of the ambiguous stimulus percept reversal rate R at toff  200 ms. It explains the experimental results of Orbach et.al. (1966, Percept. Mot. Skills 22 615-618) who determined an average maximum of R  36 min-1 at toff  200 ms with an on-time ton = 300 ms, and similar results of Kornmeier et.al. (2007, Psychophysiology 44, 552-560). The macroscopic model is based on an inhibitorily coupled pair of three coupled nonlinear equations, one triplet for each percept. As expected from our previous work the perception, attention, and memory (PAM) dy-namics of a single triplet with feedback delay T = 40 ms and attention fatigue time-constant  = 1 – 2 s is sufficient for reproducing the basic experimental findings. For quantitative agreement a stochastic Langevin-force term in the attention equation proves essential, in support of Braskamp et al. (2006, J. Vision 6 1244-1256). Assuming a dissipative thermal origin of noise the formal analysis with the Fluctuation-Dissipation Theorem leads to a quantification of cognitive inertia as predicted by Gao et.al (2006, Cogn. Process. 7 105-112). The model supports the interplay be-tween the percept choice (bifurcation) dynamics (Noest et.al. 2007, J. Vision 7 1-14) during stimu-lus onset and the adaptive gain (attention fatigue) driven quasiperiodic percept reversals (Ditzinger & Haken 1989, Biol. Cybern. 61 279-287).

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• Simulating Bistable Perception with Interrupted Ambiguous Stimulus using Self-Oscillator Dynamics with Percept Choice Bifurcation. (deposited 13 Nov 2013 10:36) [Gegenwärtig angezeigt]