首页> 外文期刊>Vision Research: An International Journal in Visual Science >A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images: development, attention, and bistability.
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A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images: development, attention, and bistability.

机译:层状皮质模型,用于3D感知倾斜和弯曲的表面以及2D图像:发育,注意力和双稳态。

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摘要

A model of laminar visual cortical dynamics proposes how 3D boundary and surface representations arise from viewing slanted and curved 3D objects and 2D images. The 3D boundary representations emerge from non-classical receptive field interactions within intracortical and intercortical feedback circuits. Such non-classical interactions within cortical areas V1 and V2 contextually disambiguate classical receptive field responses to ambiguous visual cues using cells that are sensitive to colinear contours, angles, and disparity gradients. Remarkably, these cell types can all be explained as variants of a unified perceptual grouping circuit whose most familiar example is a 2D colinear bipole cell. Model simulations show how this circuit can develop cell selectivity to colinear contours and angles, how slanted surfaces can activate 3D boundary representations that are sensitive to angles and disparity gradients, how 3D filling-in occurs across slanted surfaces, how a 2D Necker cube image can be representedin 3D, and how bistable 3D Necker cube percepts occur. The model also explains data about slant aftereffects and 3D neon color spreading. It shows how chemical transmitters that habituate, or depress, in an activity-dependent way can help to control development and also to trigger bistable 3D percepts and slant aftereffects. Attention can influence which of these percepts is perceived by propagating selectively along object boundaries.
机译:层流视觉皮层动力学模型提出了通过观察倾斜和弯曲的3D对象和2D图像如何产生3D边界和表面表示。 3D边界表示来自皮质内和皮质间反馈电路内的非经典感受野相互作用。使用对共线轮廓,角度和视差梯度敏感的单元格,皮质区域V1和V2中的此类非经典交互在上下文上消除了对歧义视觉线索的经典感受野响应的歧义。值得注意的是,这些单元类型都可以解释为统一感知分组电路的变体,其最常见的示例是2D共线性双极子单元。模型仿真显示该电路如何提高对共线轮廓和角度的单元选择性,倾斜的表面如何激活对角度和视差梯度敏感的3D边界表示,倾斜的表面如何发生3D填充,如何获得2D Necker立方体图像用3D表示,以及双稳态3D Necker立方体感知如何发生。该模型还解释了有关倾斜后效应和3D霓虹色扩散的数据。它显示了以活动依赖方式习惯或抑制的化学递质如何帮助控制发育,并引发双稳态3D感知和倾斜的后效应。注意可以通过选择性地沿对象边界传播来影响这些感知中的哪个感知。

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