Department of Mathematics, The Ohio State University, Columbus, Ohio.
Department of Psychology, The Ohio State University, Columbus, Ohio.
J Neurophysiol. 2019 Nov 1;122(5):1989-1999. doi: 10.1152/jn.00438.2019. Epub 2019 Sep 18.
Previously, symmetry of network models has been proposed to account for interocular grouping during binocular rivalry. Here, we construct and analyze generalized rivalry network models with different types of symmetry (based on different kinds of excitatory coupling) to derive predictions of possible perceptual states in 12 experiments with four retinal locations. Percepts in binocular rivalry involving more than three locations have not been empirically investigated due to the difficulty in reporting simultaneous percepts at multiple locations. Here, we develop a novel reporting procedure in which the stimulus disappears when the subject is cued to report the simultaneously perceived colors in all four retinal locations. This procedure ensures that simultaneous rather than sequential percepts are reported. The procedure was applied in 12 experiments with six binocular rivalry stimulus configurations, all consisting of dichoptic displays of red and green squares at four locations. We call configurations with an even or odd number of red squares or configurations, respectively. In experiments using even stimulus configurations, we found that even percepts were more frequently observed than odd percepts, whereas in experiments using odd stimulus configurations even and odd percepts were observed with equal probability. The generalized rivalry network models in which couplings depend on stimulus features and spatial configurations was in better agreement with the empirical results. We conclude that the excitatory coupling strength in the horizontal and vertical configurations are different and the coupling strengths between the same color and between different colors are different. Wilson network models of interocular groupings during binocular rivalry are constructed by considering features that indicate equal coupling strengths. Network symmetries, based on equal couplings, predict percepts. For a four-location rivalry experiment with red or green squares at each location, we analyze different possible Wilson networks. In our experiments we develop a novel reporting procedure and show that networks in which stimulus features and spatial configurations are distinguished best agree with experiments.
先前，已有研究提出网络模型的对称性可以解释双眼竞争中的双眼分组。在这里，我们构建并分析了具有不同对称性（基于不同类型的兴奋性耦合）的广义竞争网络模型，以推导出在 12 项涉及四个视网膜位置的实验中的可能知觉状态的预测。由于在多个位置同时报告知觉的难度，涉及四个以上位置的双眼竞争中的知觉尚未得到经验性研究。在这里，我们开发了一种新的报告程序，当被试被提示报告四个视网膜位置的同时感知颜色时，刺激会消失。该程序确保报告的是同时而非顺序的知觉。该程序在 12 项具有六种双眼竞争刺激配置的实验中得到应用，所有配置均由四个位置的红色和绿色方块的双眼显示组成。我们将具有偶数或奇数数量的红色方块的配置分别称为 或 配置。在使用偶数刺激配置的实验中，我们发现偶数知觉比奇数知觉更频繁地被观察到，而在使用奇数刺激配置的实验中，偶数和奇数知觉的观察概率相等。依赖于刺激特征和空间配置的广义竞争网络模型与实验结果更一致。我们得出结论，水平和垂直配置中的兴奋性耦合强度不同，相同颜色之间和不同颜色之间的耦合强度也不同。在双眼竞争期间的眼间分组的威尔逊网络模型通过考虑指示相等耦合强度的特征来构建。基于相等耦合的网络对称性预测知觉。对于每个位置都有红色或绿色方块的四个位置竞争实验，我们分析了不同的可能威尔逊网络。在我们的实验中，我们开发了一种新的报告程序，并表明最佳区分刺激特征和空间配置的网络与实验最一致。
