Binocular Rivalry Alternation Rate Declines with Age

Kazuhiko Ukai; Haruna Ando; Junko Kuze

doi:10.2466/pms.2003.97.2.393

Tagged MEG measures binocular rivalry in a cortical network that predicts alternation rate

PLoS ONE ◽

10.1371/journal.pone.0218529 ◽

2019 ◽

Vol 14 (7) ◽

pp. e0218529 ◽

Cited By ~ 2

Author(s):

Elizabeth A. Bock ◽

Jeremy D. Fesi ◽

Sylvain Baillet ◽

Janine D. Mendola

Keyword(s):

Binocular Rivalry ◽

Cortical Network ◽

Alternation Rate

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Temporal Patterns of Saccadic Eye Movements Predict Individual Variation in Alternation Rate during Binocular Rivalry

i-Perception ◽

10.1068/i0486 ◽

2012 ◽

Vol 3 (1) ◽

pp. 88-96 ◽

Cited By ~ 12

Author(s):

Sarah Hancock ◽

Lynn Gareze ◽

John M Findlay ◽

Timothy J Andrews

Keyword(s):

Eye Movements ◽

Binocular Rivalry ◽

Individual Variation ◽

Saccadic Eye Movements ◽

Temporal Patterns ◽

Alternation Rate

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Fast cyclic stimulus flashing modulates perception of bi-stable figure

PeerJ ◽

10.7717/peerj.6011 ◽

2018 ◽

Vol 6 ◽

pp. e6011

Author(s):

Henrikas Vaitkevicius ◽

Vygandas Vanagas ◽

Alvydas Soliunas ◽

Algimantas Svegzda ◽

Remigijus Bliumas ◽

...

Keyword(s):

Binocular Rivalry ◽

Necker Cube ◽

Common Mechanism ◽

Perceptual Information ◽

Alternation Rate ◽

Bistable Perception ◽

Perception Time ◽

Neuronal Processing ◽

External Stimuli ◽

The Brain

Many experiments have demonstrated that the rhythms in the brain influence the initial perceptual information processing. We investigated whether the alternation rate of the perception of a Necker cube depends on the frequency and duration of a flashing Necker cube. We hypothesize that synchronization between the external rhythm of a flashing stimulus and the internal rhythm of neuronal processing should change the alternation rate of a Necker cube. Knowing how a flickering stimulus with a given frequency and duration affects the alternation rate of bistable perception, we could estimate the frequency of the internal neuronal processing. Our results show that the perception time of the dominant stimulus depends on the frequency or duration of the flashing stimuli. The duration of the stimuli, at which the duration of the perceived image was maximal, was repeated periodically at 4 ms intervals. We suppose that such results could be explained by the existence of an internal rhythm of 125 cycles/s for bistable visual perception. We can also suppose that it is not the stimulus duration but the precise timing of the moments of switching on of external stimuli to match the internal stimuli which explains our experimental results. Similarity between the effects of flashing frequency on alternation rate of stimuli perception in present and previously performed experiment on binocular rivalry support the existence of a common mechanism for binocular rivalry and monocular perception of ambiguous figures.

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A physiological model of binocular rivalry

Visual Neuroscience ◽

10.1017/s0952523800002777 ◽

1990 ◽

Vol 4 (1) ◽

pp. 63-73 ◽

Cited By ~ 53

Author(s):

T. J. Mueller

Keyword(s):

Binocular Rivalry ◽

Temporal Dynamics ◽

Reciprocal Inhibition ◽

Physiological Model ◽

Human Observer ◽

Temporal Behavior ◽

Alternation Rate ◽

Binocular Fusion ◽

State Variable ◽

Neurophysiological Mechanisms

AbstractThis paper presents a modified reciprocal inhibition model for the temporal dynamics of binocular rivalry. The model is based on neurophysiological mechanisms and is derived from human psychophysical data. A simple reciprocal inhibition oscillator may be described with a set of four coupled differential equations with a neurophysiological interpretation. However, such a circuit does not account for some aspects of the temporal behavior of binocular rivalry, including the effects of contrast change on alternation rate and on the magnitudes of changes in duration of the suppressed and dominant phases. To better account for these phenomena, the equations and their simulation are modified to include three new components: (1) presynaptic inhibition of the reciprocal inhibition by the input, (2) the motor delays that occur when a human observer tracks rivalry and (3) a minimum threshold for each neuron's state variable. The result is a much improved fit to psychophysically-obtained data on the temporal behavior of binocular rivalry. Finally, the model is incorporated into a larger model to suggest how rivalry might occur in a network that usually exhibits binocular fusion.

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