Learning to link visual contours
Learning to link visual contours
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DOI：
10.1016/j.neuron.2007.12.011
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发表时间：
2008-02-07
期刊：
影响因子：
16.2
通讯作者：
Gilbert, Charles D.
中科院分区：
文献类型：
--
作者：
Li, Wu;Piech, Valentin;Gilbert, Charles D.
在复杂的视觉场景中，链接相关的轮廓元素对于对象识别很重要。这个过程被认为是刺激驱动的和硬有线的，具有原代视皮层（V1）的底物。但是，在这里，我们发现V1中的轮廓集成在很大程度上依赖于感知学习和特定于轮廓检测的自上而下的影响。在幼稚的猴子中，在V1神经元反应中不存在有关嵌入在复杂背景中的轮廓的信息，并且与空间注意的轨迹无关。训练动物发现嵌入的轮廓会引起对训练有素的视网膜区域特异性轮廓相关的强烈反应。当动物执行轮廓检测任务但在麻醉下消失时，这些反应最有力。我们的发现表明，自上而下的影响会根据特定的感知任务动态适应神经回路。这可能是感知学习的一般神经元机制，并反映了皮质状态的自上而下的介导变化。
In complex visual scenes, linking related contour elements is important for object recognition. This process, thought to be stimulus driven and hard wired, has substrates in primary visual cortex (V1). Here, however, we find contour integration in V1 to depend strongly on perceptual learning and top-down influences that are specific to contour detection. In naive monkeys, the information about contours embedded in complex backgrounds is absent in V1 neuronal responses and is independent of the locus of spatial attention. Training animals to find embedded contours induces strong contour-related responses specific to the trained retinotopic region. These responses are most robust when animals perform the contour detection task but disappear under anesthesia. Our findings suggest that top-down influences dynamically adapt neural circuits according to specific perceptual tasks. This may serve as a general neuronal mechanism of perceptual learning and reflect top-down mediated changes in cortical states.