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首页> 外文期刊>Journal of Cognitive Neuroscience >The Temporal Evolution of Coarse Location Coding of Objects: Evidence for Feedback
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The Temporal Evolution of Coarse Location Coding of Objects: Evidence for Feedback

机译:对象的粗略位置编码的时间演变:反馈的证据

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Objects occupy space. How does the brain represent the spatial location of objects? Retinotopic early visual cortex has precise location information but can only segment simple objects. On the other hand, higher visual areas can resolve complex objects but only have coarse location information. Thus coarse location of complex objects might be represented by either (a) feedback from higher areas to early retinotopic areas or (b) coarse position encoding in higher areas. We tested these alternatives by presenting various kinds of first- (edge-defined) and second-order (texture) objects. We applied multivariate classifiers to the pattern of EEG amplitudes across the scalp at a range of time points to trace the temporal dynamics of coarse location representation. For edge-defined objects, peak classification performance was high and early and thus attributable to the retinotopic layout of early visual cortex. For texture objects, it was low and late. Crucially, despite these differences in peak performance and timing, training a classifier on one object and testing it on others revealed that the topography at peak performance was the same for both first- and second-order objects. That is, the same location information, encoded by early visual areas, was available for both edge-defined and texture objects at different time points. These results indicate that locations of complex objects such as textures, although not represented in the bottom–up sweep, are encoded later by neural patterns resembling the bottom–up ones. We conclude that feedback mechanisms play an important role in coarse location representation of complex objects.
机译:对象占据空间。大脑如何代表物体的空间位置?视网膜局部早期视觉皮层具有精确的位置信息,但只能分割简单的对象。另一方面,较高的视觉区域可以解析复杂的对象,但仅具有粗糙的位置信息。因此,复杂对象的粗略位置可能由(a)从较高区域到早期视网膜局部区域的反馈或(b)在较高区域中的粗略位置编码来表示。我们通过呈现各种类型的一阶(边缘定义)和二阶(纹理)对象来测试这些替代方案。我们将多元分类器应用于在某个时间点范围内头皮上的脑电图振幅模式,以追踪粗略位置表示的时间动态。对于边缘定义的对象,峰值分类性能较高且较早,因此可归因于早期视觉皮层的视网膜位置。对于纹理对象,该值较低且较晚。至关重要的是,尽管在峰值性能和时序方面存在这些差异,但在一个对象上训练分类器并在另一个对象上进行测试后发现,一阶和二阶对象在峰值性能下的拓扑相同。也就是说,由早期视觉区域编码的相同位置信息可用于不同时间点的边缘定义对象和纹理对象。这些结果表明,尽管没有在自下而上的扫描中表示出复杂对象(例如纹理)的位置,但后来却通过类似于自下而上的神经模式进行编码。我们得出结论,反馈机制在复杂对象的粗略位置表示中起着重要作用。

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