在物体识别退化过程中,下颞叶皮层神经元对运动轨迹非常敏感。

Diana C Burk, David L Sheinberg
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引用次数: 1

摘要

即使视觉信息有限,我们的大脑也会不断获取感官信息并做出判断。在某些情况下,一个模糊的物体可以通过它的运动方式来识别,比如一只动物在跳跃,或者一架飞机在头顶飞过。然而,目前还不清楚运动是如何被大脑中与视觉物体识别有关的区域处理的。在这里,我们研究了颞下皮层(一个与视觉形式处理相关的区域)在识别过程中是否能够获取运动信息。我们开发了一个匹配任务,要求猴子识别形状退化程度不同的移动形状。IT区的神经记录显示,令人惊讶的是,一些IT神经元对退化的形状的反应比清晰的形状更强烈。此外,神经元在模糊目标呈现的不同时间表现出运动敏感性。群体解码分析表明,运动模式可以从IT神经元伪群体中解码出来。与之前的发现相反,这些结果表明,IT中的神经元可以整合视觉运动和形状信息,特别是当形状信息被退化时,以一种以前被忽视的方式。我们的研究结果强调了使用具有挑战性的多特征识别任务来理解区域IT在自然视觉对象识别中的作用的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Neurons in inferior temporal cortex are sensitive to motion trajectory during degraded object recognition.

Our brains continuously acquire sensory information and make judgments even when visual information is limited. In some circumstances, an ambiguous object can be recognized from how it moves, such as an animal hopping or a plane flying overhead. Yet it remains unclear how movement is processed by brain areas involved in visual object recognition. Here we investigate whether inferior temporal (IT) cortex, an area known for its relevance in visual form processing, has access to motion information during recognition. We developed a matching task that required monkeys to recognize moving shapes with variable levels of shape degradation. Neural recordings in area IT showed that, surprisingly, some IT neurons responded stronger to degraded shapes than clear ones. Furthermore, neurons exhibited motion sensitivity at different times during the presentation of the blurry target. Population decoding analyses showed that motion patterns could be decoded from IT neuron pseudo-populations. Contrary to previous findings, these results suggest that neurons in IT can integrate visual motion and shape information, particularly when shape information is degraded, in a way that has been previously overlooked. Our results highlight the importance of using challenging multifeature recognition tasks to understand the role of area IT in naturalistic visual object recognition.

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