Underlying principles of visual shape selectivity in posterior inferotemporal cortex
Underlying principles of visual shape selectivity in posterior inferotemporal cortex
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DOI：
10.1038/nn1278
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发表时间：
2004-08-01
影响因子：
25
通讯作者：
Connor, CE
中科院分区：
文献类型：
--
作者：
Brincat, SL;Connor, CE
物体感知依赖于腹侧视觉通路的形状处理，在猴子中，腹侧视觉通路在颞下皮层（IT）达到顶峰。在这里，我们提供了一个基本的定量原则的描述，控制神经选择性的复杂形状在IT。通过测量对二维（2D）轮廓形状的大型参数集的响应，我们发现后端IT（布罗德曼区域TEO和后端TE）的神经元使用线性和非线性机制整合了多个轮廓元素（低级区域中表示的类型的直线和弯曲边缘片段）的信息。这导致了复杂的、分布式的反应模式，不能仅仅根据例子刺激来表征。我们用多维形状空间的调谐函数解释了这些反应模式，并准确地预测了神经对我们的刺激集中广泛变化的形状的反应。在信息技术的早期阶段，轮廓元素信息的整合是从低级形状信号向复杂对象表示转变的重要一步。
Object perception depends on shape processing in the ventral visual pathway, which in monkeys culminates in inferotemporal cortex (IT). Here we provide a description of fundamental quantitative principles governing neural selectivity for complex shape in IT. By measuring responses to large, parametric sets of two-dimensional (2D) silhouette shapes, we found that neurons in posterior IT (Brodmann's areas TEO and posterior TE) integrate information about multiple contour elements (straight and curved edge fragments of the type represented in lower-level areas) using both linear and nonlinear mechanisms. This results in complex, distributed response patterns that cannot be characterized solely in terms of example stimuli. We explained these response patterns with tuning functions in multidimensional shape space and accurately predicted neural responses to the widely varying shapes in our stimulus set. Integration of contour element information in earlier stages of IT represents an important step in the transformation from low-level shape signals to complex object representation.