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A computational model of bistable perception-attention dynamics with long range correlations

Fürstenau, Norbert (2007) A computational model of bistable perception-attention dynamics with long range correlations. In: KI 2007: Advances in Artificial Intelligence, LNAI 4667, pp. 251-263. Springer, Berlin, New York. 30th German Conference on Artificial Intelligence, 2007-9-10 - 2007-9-13, Osnabrück. ISBN 978-3-540-74564-8.

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Simulation results of bistable perception due to ambiguous visual stimuli are presented which are obtained with a nonlinear dynamics model using percep-tion–attention–memory coupling with delayed feedback. It predicts long range correlations of the perceptual duration times in agreement with recent experi-mental results [1] as quantified via the Hurst parameter H [2] of the reversal time series. Percept reversals are induced by attention fatigue and noise, with an attention bias which balances the relative percept duration [3]. The dynamics of the attention parameter exhibits qualitative agreement with the eye blink rate variation [4]. Coupling of the attention bias to the perception state introduces memory effects leading to significant long range correlations of perceptual du-ration times (H > 0.5). Deviations of the reversal time statistics from the Gamma-distribution increase with decreasing memory time constant and attention noise. Mean perceptual duration times of 2 – 5 s are predicted in agreement with ex-perimental results [7] if a feedback delay of ca. 40 ms is assumed which is typi-cal for cortical reentrant loops [20].

Item URL in elib:https://elib.dlr.de/47837/
Document Type:Conference or Workshop Item (Paper)
Title:A computational model of bistable perception-attention dynamics with long range correlations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Date:March 2007
Journal or Publication Title:KI 2007: Advances in Artificial Intelligence
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Volume:LNAI 4667
Page Range:pp. 251-263
EditorsEmailEditor's ORCID iD
Publisher:Springer, Berlin, New York
Series Name:Lecture Notes in Artificial Intelligence
Keywords:cognitive bistability, modelling, nonlinear dynamics, perception, attention, Hurst parameter
Event Title:30th German Conference on Artificial Intelligence
Event Location:Osnabrück
Event Type:international Conference
Event Dates:2007-9-10 - 2007-9-13
Organizer:Gesellschaft für Informatik
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 > Systemergonomy
Deposited By: Fürstenau, Dr.phil.nat. Norbert
Deposited On:19 Oct 2007
Last Modified:09 Feb 2017 19:17

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