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Computational nonlinear dynamics model of percept switching with ambiguous stimuli

Fürstenau, Norbert (2009) Computational nonlinear dynamics model of percept switching with ambiguous stimuli. In: V.G. Duffy (Ed.) Digital Human Modeling, HCII2009, LNCS 5620, pp. 227-236 (2009). Springer Verlag, Berlin, New York. 13th Int. Conf. Human-Computer Interaction: Digital Human Modeling Conf., 19.-24.7.2009, San Diego.

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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. As a kind of minimum architecture representing the Thalamo-Cortical V4–InferoTemporal–PraeFrontal–V4 ("what") loop the basic model couples the dynamics of a macroscopic perception state order parameter with an adaptive attention (feedback gain) control parameter with reentrant delay T and additive band limited attention noise (Fürstenau 2006, 2007). Quasiperiodic perceptual switching is induced by attention fatigue with a perception bias which balances the relative duration of the alternative percepts, corresponding to the well known Synergetics model of Ditzinger and Haken (1989). Mean perceptual duration times of 2 – 5 s of the Gamma-distributed dwell time statistics are predicted in agreement with experimental results reported in the literature, if a feedback delay T of 40 ms is assumed which is typical for cortical reentrant loops and the stimulus-V1 latency (Lamme 2003). Numerically determined perceptual transition times of 3 – 5 T are in reasonable agreement with stimulus–conscious perception delay of 150 – 200 ms. Periodic stimulus simulations as a function of stimulus off-time yields the reversal rate variation in surprisingly good quantitative agreement with classical experimental results of Orbach et.al.(1966) when selecting adaptation and recovery time constants of 1 – 2 s. As an additional feature memory effects are introduced by allowing for the slow adaptation of the perception bias parameter via coupling to the perception state. They are quantified by calculation of the self similarity (Hurst) parameter H of the reversal time series (H greater than 0.5). The simulations exhibit long range correlations, i.e. the fractal character of the perceptual duration times in agreement with recent experimental results of Gao et al. (2006). This finding again fits into the proposed picture of underlying nonlinear brain dynamics as derived from analysis and theoretical modeling of EEG time series (e.g. (Lutzenberger et.al. 1995)). Also a straightforward extension appears possible for modeling top-down control of eye movements.

Item URL in elib:https://elib.dlr.de/88263/
Document Type:Conference or Workshop Item (Speech)
Title:Computational nonlinear dynamics model of percept switching with ambiguous stimuli
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fürstenau, Norbertnorbert.fuerstenau (at) dlr.deUNSPECIFIED
Date:2009
Journal or Publication Title:V.G. Duffy (Ed.) Digital Human Modeling, HCII2009, LNCS 5620, pp. 227-236 (2009)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Editors:
EditorsEmail
Duffy, VincentUNSPECIFIED
Publisher:Springer Verlag, Berlin, New York
Series Name:Lecture Notes in Computer Science
Status:Published
Keywords:perception, attention, bistability, cognitive modeling, nonlinear dynamics, fatigue, interrupted stimulus, computer simulation
Event Title:13th Int. Conf. Human-Computer Interaction: Digital Human Modeling Conf.
Event Location:San Diego
Event Type:international Conference
Event Dates:19.-24.7.2009
Organizer:HCI International
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 Control > Systemergonomy
Deposited By: Fürstenau, Dr.phil.nat. Norbert
Deposited On:17 Feb 2014 11:44
Last Modified:31 Jul 2019 19:45

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