Borisyuk Roman, Chik David, Kazanovich Yakov
Centre for Theoretical and Computational Neuroscience, University of Plymouth, Plymouth, UK.
Biol Cybern. 2009 Jun;100(6):491-504. doi: 10.1007/s00422-009-0301-1. Epub 2009 Apr 1.
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.
我们开发并研究了两种感知交替的神经网络模型。两种模型都具有类似星形的连接架构，其中央元素连接到一组外围元素。特定的感知是根据中央元素与一些外围元素子组之间的部分同步来模拟的。第一个模型由相位振荡器构建而成，感知交替的机制基于固定参数值下的混沌间歇性。与实验证据类似，感知交替之间的时间分布由伽马分布表示。第二个模型由霍奇金 - 赫胥黎类型的脉冲神经元构建而成。感知交替的机制基于抑制性突触的可塑性，这增加了从中央单元到代表当前感知的神经集合的抑制作用。结果形成了另一种感知。模拟表明，第二个模型与关于模糊图形感知之间切换时间的行为数据以及关于两种和四种感知的双眼竞争的实验结果高度吻合。
