Burstein Zily, Reid David D, Thomas Peter J, Cowan Jack D
Department of Physics, University of Chicago, Chicago, IL, USA.
Department of Mathematics, Applied Mathematics, and Statistics; Department of Biology; Department of Cognitive Science, Case Western Reserve University, Cleveland, OH, USA.
Netw Neurosci. 2023 Jun 30;7(2):679-711. doi: 10.1162/netn_a_00294. eCollection 2023.
While our understanding of the way single neurons process chromatic stimuli in the early visual pathway has advanced significantly in recent years, we do not yet know how these cells interact to form stable representations of hue. Drawing on physiological studies, we offer a dynamical model of how the primary visual cortex tunes for color, hinged on intracortical interactions and emergent network effects. After detailing the evolution of network activity through analytical and numerical approaches, we discuss the effects of the model's cortical parameters on the selectivity of the tuning curves. In particular, we explore the role of the model's thresholding nonlinearity in enhancing hue selectivity by expanding the region of stability, allowing for the precise encoding of chromatic stimuli in early vision. Finally, in the absence of a stimulus, the model is capable of explaining hallucinatory color perception via a Turing-like mechanism of biological pattern formation.
虽然近年来我们对早期视觉通路中单个神经元处理颜色刺激方式的理解有了显著进展,但我们尚不清楚这些细胞如何相互作用以形成色调的稳定表征。基于生理学研究,我们提出了一个关于初级视觉皮层如何进行颜色调谐的动力学模型,该模型基于皮层内相互作用和涌现的网络效应。在通过分析和数值方法详细阐述网络活动的演变之后,我们讨论了模型的皮层参数对调谐曲线选择性的影响。特别是,我们探讨了模型的阈值非线性在通过扩大稳定区域来增强色调选择性方面的作用,从而允许在早期视觉中对颜色刺激进行精确编码。最后,在没有刺激的情况下,该模型能够通过一种类似图灵的生物模式形成机制来解释幻觉颜色感知。