Inertia and memory in ambiguous visual perception |
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Authors: | J. B. Gao V. A. Billock I. Merk W. W. Tung K. D. White J. G. Harris V. P. Roychowdhury |
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Affiliation: | (1) Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA;(2) General Dynamics at the U.S. Air Force Research Laboratory, Suite 200, 5200 Springfield Pike, Dayton, OH 45431, USA;(3) Gerling Global Reinsurance Company, Cologne, Germany;(4) Department of Earth & Atmospheric Sciences, Purdue University, West Lafayette, IN 47907, USA;(5) Department of Psychology, University of Florida, P. O. Box 112250, Gainesville, FL 32611-2250, USA;(6) Department of Electrical Engineering, UCLA, Los Angeles, CA 90095, USA |
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Abstract: | Perceptual multistability during ambiguous visual perception is an important clue to neural dynamics. We examined perceptual switching during ambiguous depth perception using a Necker cube stimulus, and also during binocular rivalry. Analysis of perceptual switching time series using variance–sample size analysis, spectral analysis and time series shuffling shows that switching times behave as a 1/f noise and possess very long range correlations. The long memory feature contrasts sharply with the traditional satiation models of multistability, where the memory is not incorporated, as well as with recently published models of multistability and neural processing, where memory is excluded. On the other hand, the long memory feature favors the concept of “dynamic core” or coalition of neurons, where neurons form transient coalitions. Perceptual switching then corresponds to replacement of one coalition of neurons by another. The inertia and memory measures the stability of a coalition: a strong and stable coalition has to be won over by another similarly strong and stable coalition, resulting in long switching times. The complicated transient dynamics of competing coalitions of neurons may be addressable using a combination of functional imaging, measurement of frequency-tagged magnetoencephalography and frequency-tagged encephalography, simultaneous recordings of groups of neurons in many areas of the brain, and concepts from statistical mechanics and nonlinear dynamics theory. |
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