DocumentCode :
2628197
Title :
A chaotic attractor model of cognitive multistability
Author :
Fürstenau, Norbert
Author_Institution :
Inst. of Flight Guidance, German Aerosp. Center, Braunschweig
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
853
Abstract :
A coupled attention-perception model of cognitive multistability is described. It quantitatively simulates the spontaneous reversals between the two percepts of an ambiguous visual stimulus. The perception state is formalized as the phase variable of a recursive cosinusoidal map with two control parameters mu = difference of meaning and G ~ attention. The mapping function is related to the mean field theory of temporal binding. It is represented by an interferometric equivalent circuit (contrast mu) with delayed phase feedback (delay T) and adaptive gain (~ G(t)) which models attention saturation. For small damping time constant tau (as compared to T) the coupled attention-perception dynamics is characterized by limit cycle oscillations and chaotic attractors. Analysis of simulated time series yields the experimentally observed Gamma- distribution of the reversal time statistics. Mean reversal times of 3 - 5 s as reported in the literature, are correctly predicted if T is associated with primary visual cortex (VI) response delay of ap 40 ms
Keywords :
cognitive systems; delays; feedback; limit cycles; oscillations; stability; time series; ambiguous visual stimulus; chaotic attractor model; cognitive multistability; coupled attention-perception model; delayed phase feedback; limit cycle oscillations; mean field theory; recursive cosinusoidal map; reversal time statistics; simulated time series; small damping time constant; temporal binding; Analytical models; Brain modeling; Chaos; Circuit simulation; Coupling circuits; Damping; Delay; Equivalent circuits; Limit-cycles; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1398410
Filename :
1398410
Link To Document :
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