Sentence examples for models of rivalry from inspiring English sources

Lee and Blake [21] reexamine IOG during rivalry, and argue that, whereas IOG rules out models of rivalry in which one eye or the other is completely dominant at any given moment, IOG can be explained by simultaneous dominance of local eye-based regions distributed between the eyes.

Many models of rivalry replicate the leptokurtic distribution of dominance durations.

To compare different computational models of rivalry, we simulated three different networks of increasing complexity.

This model introduces a form of memory by forming discrete states and explains experimental data better than competitive models of rivalry without memory.

Many models of rivalry assume a form of "fatigue" or habituation; that is, if a percept has been dominant for some time, its representation fatigues and thus the other percept becomes dominant.

Specifically, we here compare three models of rivalry (Fig. 1), which serve as prototypes for broad classes of rivalry models: first, networks of self-exciting units with mutual inhibition (model 1); second, the same network augmented with an adaptation mechanism in the excitatory units (model 2); third, our new approach, two coupled networks that implicitly form a memory state (model 3).

Here, we propose to exploit the structural similarity between rivalry and attention as forms of competition and present a WTA model of rivalry.

Our aim is to construct a comprehensive model of rivalry that replicates the three key features common to all rivalry processes: leptokurtic dominance distributions, Levelt's propositions, and the role of memory, in particular for the phenomena related to stimulus blanking.

Consistent with the majority of research investigating the neurobiological mechanisms underlying binocular rivalry, all of the computational models of binocular rivalry focus on the perceptual dynamics experienced during prolonged viewing of rivalrous stimuli.

The lack of bias suggests that the temporal limit for rivalry is not dictated by rapid inter-ocular inhibition, consequently models of binocular rivalry that depend on rapid interocular interactions (e.g. [15]) cannot capture our results.

An important implication of this finding is that models of binocular rivalry that were inspired by Levelt's propositions can be applied to structure-from-motion rivalry as well.