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Visual perception of ambiguous figures: Synchronization based neural models

机译:模棱两可人物的视觉感知:基于同步的神经模型

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摘要

We develop and study two neural network models of perceptual alternations. Both models have a star-like architecture of connections with a central element connected to a set of peripheral elements. A particular perception is simulated in terms of partial synchronization between the central element and some sub-group of peripheral elements. The first model is constructed from phase oscillators and the mechanism of perceptual alternations is based on chaotic intermittency under fixed parameter values. Similar to experimental evidence, the distribution of times between perceptual alternations is represented by the gamma distribution. The second model is built of spiking neurons of the Hodgkin-Huxley type. The mechanism of perceptual alternations is based on plasticity of inhibitory synapses which increases the inhibition from the central unit to the neural assembly representing the current percept. As a result another perception is formed. Simulations show that the second model is in good agreement with behavioural data on switching times between percepts of ambiguous figures and with experimental results on binocular rivalry of two and four percepts.
机译:我们开发和研究两种感知交替的神经网络模型。两种模型都具有星形连接结构,其中央元素连接到一组外围元素。根据中心元素和外围元素的某些子组之间的部分同步来模拟特定的感知。第一个模型是由相位振荡器构建的,感知交替的机制基于固定参数值下的混沌间歇性。与实验证据相似,知觉交替之间的时间分布由伽马分布表示。第二个模型是由Hodgkin-Huxley型尖峰神经元构建的。知觉交替的机制基于抑制性突触的可塑性,其增加了从中央单元到代表当前知觉的神经组件的抑制。结果,形成了另一种感觉。仿真表明,第二个模型与关于模棱两可的人物的感知之间的切换时间的行为数据以及关于两个和四个感知的双目竞争的实验结果非常吻合。

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