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首页> 外文期刊>Journal of Computational Neuroscience >Neural field model of binocular rivalry waves
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Neural field model of binocular rivalry waves

机译：双目竞争波的神经场模型

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We present a neural field model of binocular rivalry waves in visual cortex. For each eye we consider a one-dimensional network of neurons that respond maximally to a particular feature of the corresponding image such as the orientation of a grating stimulus. Recurrent connections within each one-dimensional network are assumed to be excitatory, whereas connec tions between the two networks are inhibitory (cross inhibition). Slow adaptation is incorporated into the model by taking the network connections to exhibit synaptic depression. We derive an analytical expression for the speed of a binocular rivalry wave as a function of various neurophysiological parameters, and show how properties of the wave are consistent with the wave-like propagation of perceptual dominance observed in recent psychophysical experiments. In addition to providing an analytical framework for studying binoc ular rivalry waves, we show how neural field methods provide insights into the mechanisms underlying the generation of the waves. In particular, we highlight the important role of slow adaptation in providing a "symmetry breaking mechanism" that allows waves to propagate.
机译：我们提出了视觉皮层中双目竞争波的神经场模型。对于每只眼睛，我们考虑一个神经元的一维网络，该网络对相应图像的特定特征（例如光栅刺激的方向）有最大的响应。假定每个一维网络内的循环连接都是兴奋性的，而两个网络之间的连接是抑制性的（交叉抑制）。通过采取网络连接来展现突触抑制，将慢适应纳入模型中。我们导出双目竞争波的速度作为各种神经生理学参数的函数的解析表达式，并显示该波的特性如何与最近的心理物理实验中观察到的感知主导的波状传播相一致。除了提供用于研究双耳竞争波的分析框架外，我们还展示了神经场方法如何提供对波生成基础的机制的见解。特别是，我们强调了慢速适应在提供允许波传播的“对称破坏机制”中的重要作用。

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