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内侧颞叶中多状态物体基于动作的学习

Action-Based Learning of Multistate Objects in the Medial Temporal Lobe.

作者信息

Hindy Nicholas C, Turk-Browne Nicholas B

机构信息

Princeton Neuroscience Institute.

Department of Psychology, Princeton University, Princeton, NJ 08544, USA.

出版信息

Cereb Cortex. 2016 May;26(5):1853-1865. doi: 10.1093/cercor/bhv030. Epub 2015 Mar 9.

DOI:10.1093/cercor/bhv030
PMID:25754517
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4830288/
Abstract

Actions constrain perception by changing the appearance of objects in the environment. As such, they provide an interactive basis for learning the structure of visual input. If an action systematically transforms one stimulus into another, then these stimuli are more likely to reflect different states of the same persisting object over time. Here we show that such multistate objects are represented in the human medial temporal lobe--the result of a mechanism in which actions influence associative learning of how objects transition between states. We further demonstrate that greater recruitment of these action-based representations during object perception is accompanied by attenuated activity in stimulus-selective visual cortex. In this way, our interactions with the environment help build visual knowledge that predictively facilitates perceptual processing.

摘要

行动通过改变环境中物体的外观来限制感知。因此,它们为学习视觉输入的结构提供了一个交互基础。如果一个行动系统地将一种刺激转化为另一种刺激,那么随着时间的推移,这些刺激更有可能反映同一个持续存在的物体的不同状态。在这里,我们表明,这种多状态物体在人类内侧颞叶中得到表征——这是一种机制的结果,即行动影响物体如何在不同状态之间转换的关联学习。我们进一步证明,在物体感知过程中,这些基于行动的表征的更多募集伴随着刺激选择性视觉皮层活动的减弱。通过这种方式,我们与环境的互动有助于构建视觉知识,从而预测性地促进感知处理。