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Self-Oscillator Model of Cognitive Bistability Explains Percept Reversal Rate Characteristics with Periodically Interrupted Ambiguous Stimulus

Fürstenau, Norbert (2012) Self-Oscillator Model of Cognitive Bistability Explains Percept Reversal Rate Characteristics with Periodically Interrupted Ambiguous Stimulus. Summer School in Cognitive Science 2012, 2012-06-30 - 2012-07-08, Montreal / Canada.

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A stochastic nonlinear dynamics model is presented which explains published experimental results with periodically interrupted ambiguous stimuli [1][2]. Experiments with the Necker cube with stimulus-off times toff < 1 s exhibit a maximum of the percept reversal rate of Rmax ca. 36 min-1 at toff ca. 200 ms (with on-time = 300 ms). According to [1] for toff > 200 ms the percept is stabilized with increasing toff due to recovery from neural fatigue. Within the present model these results are quantitatively explained by dynamical coupling of behavioral perception, attention, and memory (PAM) variables with delayed feedback. The model is related to the synergetic order parameter approach of Ditzinger & Haken [5] and was recently used for explaining long range correlations of the percept reversal time series [3][4]. A mapping of the PAM equations to basic Thalamo-Cortical reentrant loops was suggested. In the present work the the percept choice dynamics [6] during the ambiguous stimulus on-off switching is the focus of data analysis of the numerically simulated reversal time series. The deterministic bifurcation of the perception state at the critical stimulus ambiguity parameter value (percept choice) adds to the phase oscillator self-oscillations and to stochastic attention noise (a fluctuating Langevin force). Delayed perception state feedback via an attention control parameter (adaptive gain) is used, which in turn is modulated through a slowly varying bias (memory). The toff value at Rmax and the absolute reversal rate values are determined by the time constants (fatigue, recovery, feedback delay = 40 ms) and by the attention noise power as parameters of the nonlinear PAM-state space equations. A linear approximation in the form of a Langevin equation allows for an analytic estimate of the percept reversal rate (Rmax = 30 – 40 1/min) and of the deterministic damping time constant (tauv ≈ 1 s). Within a free energy (thermodynamic equilibrium) approximation the Fluctuation-Dissipation theorem relates the noise power spectral density and damping to an index of cognitive inertia and a cognitive perceptual energy value of at least 16 orders of magnitude above the thermal noise level at body temperature.

Item URL in elib:https://elib.dlr.de/85927/
Document Type:Conference or Workshop Item (Poster)
Additional Information:email: norbert.fuerstenau@dlr.de
Title:Self-Oscillator Model of Cognitive Bistability Explains Percept Reversal Rate Characteristics with Periodically Interrupted Ambiguous Stimulus
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:perception, attention, ambiguity, interrupted stimulus, percept reversal, dynamical model, decision, bifurcation, noise, fluctuation-dissipation
Event Title:Summer School in Cognitive Science 2012
Event Location:Montreal / Canada
Event Type:international Conference
Event Start Date:30 June 2012
Event End Date:8 July 2012
Organizer:University of Quebec, Cognitive Science Institute
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:ATM and Operation (old)
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Human Factors and Safety in Aeronautics (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance
Deposited By: Fürstenau, Dr.phil.nat. Norbert
Deposited On:16 Dec 2013 09:33
Last Modified:24 Apr 2024 19:52

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