视网膜定位偏差的背景反馈信号V1的对象和场景处理。

Matthew A. Bennett , Lucy S. Petro , Clement Abbatecola , Lars F. Muckli
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引用次数: 0

摘要

识别嵌入在自然场景中的物体依赖于低视觉区域和高视觉区域之间的循环处理。与物体和场景相关的皮质反馈信息是如何在较低的视觉区域组织的?在物体和场景处理过程中,在早期视觉皮层中收敛的皮质反馈的空间组织可能是视网膜特异性的,因为它编码在V1,或者以物体为中心编码在更高的区域,或者两者兼而有之。在这里,我们向V1描述物体和场景相关的反馈信息。参与者在被遮挡的中央和外围区域的图像中识别前景物体或背景场景,使我们能够隔离V1中央凹和外围区域的反馈活动。使用功能磁共振成像和多体素模式分类,我们发现背景场景信息被投射到中央凹和周围V1,但在中央凹中可以被足够苛刻的物体识别任务中断,在此过程中,我们发现了当使用自然刺激时,中央凹物体解码的证据。我们认为,场景感知过程中的反馈连接将被遮挡信息的自动草图投射回早期的视觉区域,以预测视网膜定位。然而,在认知任务的情况下,反馈通路将内容投射到中央凹视网膜位置空间,可能用于内省,充当认知活动黑板,不一定预测物体的位置。这种反馈结构可以反映大脑内源性视觉环境模型V1的内部映射,用于预测感知输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Retinotopic biases in contextual feedback signals to V1 for object and scene processing

Retinotopic biases in contextual feedback signals to V1 for object and scene processing
Identifying the objects embedded in natural scenes relies on recurrent processing between lower and higher visual areas. How is cortical feedback information related to objects and scenes organised in lower visual areas? The spatial organisation of cortical feedback converging in early visual cortex during object and scene processing could be retinotopically specific as it is coded in V1, or object centred as coded in higher areas, or both. Here, we characterise object and scene-related feedback information to V1. Participants identified foreground objects or background scenes in images with occluded central and peripheral subsections, allowing us to isolate feedback activity to foveal and peripheral regions of V1. Using fMRI and multivoxel pattern classification, we found that background scene information is projected to both foveal and peripheral V1 but can be disrupted in the fovea by a sufficiently demanding object discrimination task, during which we found evidence of foveal object decoding when using naturalistic stimuli. We suggest that the feedback connections during scene perception project back to earlier visual areas an automatic sketch of occluded information to the predicted retinotopic location. In the case of a cognitive task however, feedback pathways project content to foveal retinotopic space, potentially for introspection, functioning as a cognitive active blackboard and not necessarily predicting the object's location. This feedback architecture could reflect the internal mapping in V1 of the brain's endogenous models of the visual environment that are used to predict perceptual inputs.
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