Five probability distributions for the description of temporal fluctuations in the perception of ambiguous figures were fitted to previously obtained experimental results and classified according to their efficiency in describing the data. The gamma, Wiener, and Capocelli-Ricciardi distributions showed the highest efficiency, while the χ2 and Taylor-Aldridge distributions showed a very low efficiency. Therefore the underlying process may be described either by a simple Poisson model or by a random-walk model. For the gamma distribution there was a strong correlation between the parameters, while for the Wiener distribution this correlation was lower.
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References
1.
BorsellinoADe MarcoAAllazettaARinesiSBartoliniB, 1972“Reversal time distribution in the perception of visual ambiguous stimuli”Kybernetik10139–144
2.
BrunerJ SPostmanAMostellerF, 1950“A note on the measurement of reversals of perspective”Psychometrika1563–72
3.
CapocelliR MRicciardiL M, 1973“A continuous Markovian model for neuronal activity”Journal of Theoretical Biology40369–387
4.
GersteinG LMandelbrotB, 1964“Random walk models for the spike activity of a single neuron”Biophysical Journal441–68
5.
RestleF, 1961Psychology of Judgment and Choice (New York: John Wiley)
6.
SelfridgeO G, 1959“Pandemonium: A paradigm for learning” in The Mechanism of Thought Processes (London: HMSO)
7.
TaylorM MAldridgeK D, 1974“Stochastic processes in reversing figure perception”Perception and Psychophysics169–27
8.
VickersD, 1972“A cyclic decision model of perceptual alternation”Perception131–48
