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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., 2009-07-19 - 2009-07-24, San Diego.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/88263/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Computational nonlinear dynamics model of percept switching with ambiguous stimuli
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Fürstenau, Norbertnorbert.fuerstenau (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2009
Erschienen in:V.G. Duffy (Ed.) Digital Human Modeling, HCII2009, LNCS 5620, pp. 227-236 (2009)
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Ja
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
Duffy, VincentNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:Springer Verlag, Berlin, New York
Name der Reihe:Lecture Notes in Computer Science
Status:veröffentlicht
Stichwörter:perception, attention, bistability, cognitive modeling, nonlinear dynamics, fatigue, interrupted stimulus, computer simulation
Veranstaltungstitel:13th Int. Conf. Human-Computer Interaction: Digital Human Modeling Conf.
Veranstaltungsort:San Diego
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:19 Juli 2009
Veranstaltungsende:24 Juli 2009
Veranstalter :HCI International
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:ATM und Flugbetrieb (alt)
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AO - Luftverkehrsmanagement und Flugbetrieb
DLR - Teilgebiet (Projekt, Vorhaben):L - Faktor Mensch und Sicherheit in der Luftfahrt (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Systemergonomie
Hinterlegt von: Fürstenau, Dr.phil.nat. Norbert
Hinterlegt am:17 Feb 2014 11:44
Letzte Änderung:24 Apr 2024 19:54

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