Freeman Alan W
School of Biomedical Sciences, University of Sydney, Lidcombe, NSW, Australia.
J Neurophysiol. 2005 Dec;94(6):4412-20. doi: 10.1152/jn.00557.2005. Epub 2005 Sep 7.
Binocular rivalry is the alternating perception that occurs when incompatible stimuli are presented to the two eyes: one monocular stimulus dominates vision and then the other stimulus dominates, with a perceptual switch occurring every few seconds. There is a need for a binocular rivalry model that accounts for both well-established results on the timing of dominance intervals and for more recent evidence on the distributed neural processing of rivalry. The model for binocular rivalry developed here consists of four parallel visual channels, two driven by the left eye and two by the right. Each channel consists of several consecutive processing stages representing successively higher cortical levels, with mutual inhibition between the channels at each stage. All stages are architecturally identical. With n the number of stages, the model is implemented as 4n nonlinear differential equations using a total of eight parameters. Despite the simplicity of its architecture, the model accounts for a variety of experimental observations: 1) the increasing depth of rivalry at higher cortical areas, as shown in electrophysiological, imaging, and psychophysical experiments; 2) the unimodal probability density of dominance durations, where the mode is less than the mean; 3) the lack of correlation between successive dominance durations; 4) the effect of interocular stimulus differences on dominance duration; and 5) eye suppression, as opposed to feature suppression. The model is potentially applicable to issues of visual processing more general than binocular rivalry.
一种单眼刺激主导视觉,然后另一种刺激主导,每隔几秒就会发生一次感知切换。需要一个双眼竞争模型,既能解释关于优势间隔时间的既定结果,又能解释关于竞争的分布式神经处理的最新证据。这里开发的双眼竞争模型由四个并行的视觉通道组成,两个由左眼驱动,两个由右眼驱动。每个通道由几个连续的处理阶段组成,代表依次更高的皮层水平,每个阶段通道之间存在相互抑制。所有阶段在结构上都是相同的。设阶段数为n,该模型用总共八个参数实现为4n个非线性微分方程。尽管其结构简单,但该模型解释了各种实验观察结果:1)如电生理、成像和心理物理学实验所示,在较高皮层区域竞争深度的增加;2)优势持续时间的单峰概率密度,其中众数小于均值;3)连续优势持续时间之间缺乏相关性;4)眼间刺激差异对优势持续时间的影响;5)眼睛抑制,而不是特征抑制。该模型可能适用于比双眼竞争更普遍的视觉处理问题。