Multistage model for binocular rivalry
Multistage model for binocular rivalry
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DOI：
10.1152/jn.00557.2005
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发表时间：
2005-12-01
影响因子：
2.5
通讯作者：
Freeman, AW
中科院分区：
文献类型：
--
作者：
Freeman, AW
双眼竞争是当不相容的刺激呈现给两只眼睛时发生的交替感知：一个单眼刺激主导视觉，然后另一个刺激主导视觉，每隔几秒发生一次感知切换。需要一个双眼竞争模型，该模型既能解释关于优势间隔时间的公认结果，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平行的视觉通道组成，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，代表连续更高的皮层水平，每个阶段的通道之间相互抑制。所有阶段在架构上都是相同的。该模型的级数为n，采用共8个参数的4 n个非线性微分方程来实现。尽管其结构简单，该模型解释了各种实验观察：1）在较高的皮层区域竞争的深度增加，如在电生理，成像和心理物理实验中所示; 2）单峰概率密度的优势持续时间，其中模式小于平均值; 3）缺乏连续的优势持续时间之间的相关性; 4）眼间刺激差异对优势持续时间的影响; 5）眼抑制，与特征抑制相反。该模型是潜在的适用于问题的视觉处理比双目竞争。
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.