A physiological model of binocular rivalry

1990 ◽  
Vol 4 (1) ◽  
pp. 63-73 ◽  
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.

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

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0218529 ◽  
Author(s):  
Elizabeth A. Bock ◽  
Jeremy D. Fesi ◽  
Sylvain Baillet ◽  
Janine D. Mendola
Keyword(s):  
Binocular Rivalry ◽  
Cortical Network ◽  
Alternation Rate

Organization of Binocular Pathways: Modeling and Data Related to Rivalry

1991 ◽  
Vol 3 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Sidney R. Lehky ◽  
Randolph Blake
Keyword(s):  
Lateral Geniculate Nucleus ◽  
Binocular Rivalry ◽  
Striate Cortex ◽  
Reciprocal Inhibition ◽  
Lateral Geniculate ◽  
Layer 4 ◽  
Inhibitory Coupling ◽  
Binocular Matching

It is proposed that inputs to binocular cells are gated by reciprocal inhibition between neurons located either in the lateral geniculate nucleus or in layer 4 of striate cortex. The strength of inhibitory coupling in the gating circuitry is modulated by layer 6 neurons, which are the outputs of binocular matching circuitry. If binocular inputs are matched, the inhibition is modulated to be weak, leading to fused vision, whereas if the binocular inputs are unmatched, inhibition is modulated to be strong, leading to rivalrous oscillations. These proposals are buttressed by psychophysical experiments measuring the strength of adaptational aftereffects following exposure to an adapting stimulus visible only intermittently during binocular rivalry.

scholarly journals Single units and conscious vision

1998 ◽  
Vol 353 (1377) ◽  
pp. 1801-1818 ◽  
Author(s):  
◽  
N. K. Logothetis
Keyword(s):  
Binocular Rivalry ◽  
Neural Activity ◽  
Visual Awareness ◽  
Physiological Data ◽  
Neural Basis ◽  
Binocular Fusion ◽  
Neural Representations ◽  
Multistable Perception ◽  
Visual Areas ◽  
Psychophysical Studies

Figures that can be seen in more than one way are invaluable tools for the study of the neural basis of visual awareness, because such stimuli permit the dissociation of the neural responses that underlie what we perceive at any given time from those forming the sensory representation of a visual pattern. To study the former type of responses, monkeys were subjected to binocular rivalry, and the response of neurons in a number of different visual areas was studied while the animals reported their alternating percepts by pulling levers. Perception–related modulations of neural activity were found to occur to different extents in different cortical visual areas. The cells that were affected by suppression were almost exclusively binocular, and their proportion was found to increase in the higher processing stages of the visual system. The strongest correlations between neural activity and perception were observed in the visual areas of the temporal lobe. A strikingly large number of neurons in the early visual areas remained active during the perceptual suppression of the stimulus, a finding suggesting that conscious visual perception might be mediated by only a subset of the cells exhibiting stimulus selective responses. These physiological findings, together with a number of recent psychophysical studies, offer a new explanation of the phenomenon of binocular rivalry. Indeed, rivalry has long been considered to be closely linked with binocular fusion and stereopsis, and the sequences of dominance and suppression have been viewed as the result of competition between the two monocular channels. The physiological data presented here are incompatible with this interpretation. Rather than reflecting interocular competition, the rivalry is most probably between the two different central neural representations generated by the dichoptically presented stimuli. The mechanisms of rivalry are probably the same as, or very similar to, those underlying multistable perception in general, and further physiological studies might reveal a much about the neural mechanisms of our perceptual organization.

scholarly journals State Variable Effects in Graphical Event Models

2020 ◽  
Author(s):  
Debarun Bhattacharjya ◽  
Dharmashankar Subramanian ◽  
Tian Gao
Keyword(s):  
Real World ◽  
Continuous Time ◽  
Point Processes ◽  
Temporal Dynamics ◽  
Search Algorithm ◽  
State Variables ◽  
Discrete State ◽  
State Variable ◽  
Event Models ◽  
Real World Datasets

Many real-world domains involve co-evolving relationships between events, such as meals and exercise, and time-varying random variables, such as a patient's blood glucose levels. In this paper, we propose a general framework for modeling joint temporal dynamics involving continuous time transitions of discrete state variables and irregular arrivals of events over the timeline. We show how conditional Markov processes (as represented by continuous time Bayesian networks) and multivariate point processes (as represented by graphical event models) are among various processes that are covered by the framework. We introduce and compare two simple and interpretable yet practical joint models within the framework with relevant baselines on simulated and real-world datasets, using a graph search algorithm for learning. The experiments highlight the importance of jointly modeling event arrivals and state variable transitions to better fit joint temporal datasets, and the framework opens up possibilities for models involving even more complex dynamics whenever suitable.

scholarly journals 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 ◽  
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

Binocular Rivalry Alternation Rate Declines with Age

2003 ◽  
Vol 97 (2) ◽  
pp. 393-397 ◽  
Author(s):  
Kazuhiko Ukai ◽  
Haruna Ando ◽  
Junko Kuze
Keyword(s):  
Binocular Rivalry ◽  
Alternation Rate

scholarly journals HIERARCHICAL SPATIO-TEMPORAL DYNAMICS OF A CHAOTIC NEURAL NETWORK FOR MULTISTABLE BINOCULAR RIVALRY

2009 ◽  
Vol 05 (01) ◽  
pp. 123-134 ◽  
Author(s):  
YUTA KAKIMOTO ◽  
KAZUYUKI AIHARA
Keyword(s):  
Neural Network ◽  
Binocular Rivalry ◽  
Temporal Dynamics ◽  
Visual Images ◽  
Chaotic Neural Network ◽  
Perceptual Alternation ◽  
Spatio Temporal ◽  
Characteristic Features ◽  
The Brain ◽  
Special Case

Binocular rivalry is perceptual alternation that occurs when different visual images are presented to each eye. Despite the intensive studies, the mechanism of binocular rivalry still remains unclear. In multistable binocular rivalry, which is a special case of binocular rivalry, it is known that the perceptual alternation between paired patterns is more frequent than that between unpaired patterns. This result suggests that perceptual transition in binocular rivalry is not a simple random process, and the memories stored in the brain can play an important role in the perceptual transition. In this study, we propose a hierarchical chaotic neural network model for multistable binocular rivalry and show that our model reproduces some characteristic features observed in multistable binocular rivalry.

scholarly journals Temporal Dynamics of Binocular Rivalry at the Blind Spot

2011 ◽  
Vol 11 (11) ◽  
pp. 304-304
Author(s):  
Y. Baek ◽  
O. Cha ◽  
S. ChulChong
Keyword(s):  
Binocular Rivalry ◽  
Temporal Dynamics ◽  
Blind Spot
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