Binocular rivalry model using multiple habituating nonlinear reciprocal connections.
K. F. Arrington
Neuroscience Abstracts, 1993; 19, p. 1803.
Abstract
Binocular rivalry is the alternation of perception that occurs when
stimuli to the two eyes are sufficiently different that they cannot be
combined into a single visual percept. Binocular rivalry was
mathematically modeled using a reciprocal inhibition oscillator
network that is based on the gated pacemaker model of Carpenter &
Grossberg (1983). The model uses multiple gating of recurrent signals
by slowly habituating chemical transmitters at nonlinear
interneurons. These slowly habituation gates drive switches between
competing populations. The model was evaluated by computer
simulation. The results show that the model performs well with
respect to psychophysical data including all of Levelt's (1965)
propositions, the constant depth-of-suppression criteria of Fox & Check
(1972), and under the binocular rivalry stimulus paradigm employed by
Meuller & Blake (1989). It is concluded that this is biologically
plausible neural network can accurately predict the temporal dynamics
of binocular rivalry.
Note: see original abstract for references.
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