Line drawings reveal the structure of internal visual models conveyed by cortical feedback.

Line drawings reveal the structure of internal visual models conveyed by cortical feedback.
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DOI:
10.1101/041186
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发表时间:
2019-01
期刊:
bioRxiv
影响因子:
--
通讯作者:
A. Morgan;Lucy S. Petro;L. Muckli
A. Morgan;Lucy S. Petro;L. Muckli
中科院分区:
其他
文献类型:
--
作者:
A. Morgan;Lucy S. Petro;L. Muckli

文献摘要

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摘要人类的行为取决于神经元回路预测外部世界的能力。神经元电路根据内部模型做出这些预测。尽管我们对驱动皮质神经元的感觉功能有广泛的了解,但我们对大脑内部模型的结构掌握有限。因此,神经科学的实质性进展取决于我们复制大脑内部创建的模型的能力。在这里,我们记录人类功能磁共振数据,同时呈现部分遮挡的视觉场景。视觉遮挡控制视觉皮层各亚区的感觉输入,而内部模型继续影响这些区域的活动。由于观察到的活动依赖于内部模型,而不是感觉输入,我们有机会绘制大脑内部模型的特征图。我们的结果表明,早期视觉皮质的内部模型既是范畴的,也是场景特定的。我们进一步证明,行为线条图提供了对内部模型结构的良好描述。这些发现扩展了我们对内部模型的理解,表明线条画为我们了解大脑内部视觉模型提供了一扇窗。几千年来,线条图一直被人类有效地用来传达关于世界的信息。
Abstract Human behaviour is dependent on the ability of neuronal circuits to predict the outside world. Neuronal circuits make these predictions based on internal models. Despite our extensive knowledge of the sensory features that drive cortical neurons, we have a limited grasp on the structure of the brain’s internal models. Substantial progress in neuroscience therefore depends on our ability to replicate the models that the brain creates internally. Here we record human fMRI data while presenting partially occluded visual scenes. Visual occlusion controls sensory input to subregions of visual cortex while internal models continue to influence activity in these regions. Since the observed activity is dependent on internal models, but not on sensory input, we have the opportunity to map the features of the brain’s internal models. Our results show that internal models in early visual cortex are both categorical and scene-specific. We further demonstrate that behavioural line drawings provide a good description of internal model structure. These findings extend our understanding of internal models by showing that line drawings, which have been effectively used by humans to convey information about the world for thousands of years, provide a window into our brains’ internal models of vision.