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工具表示、直观物理和动作的共同点:大脑的第一人称物理引擎。

What tool representation, intuitive physics, and action have in common: The brain's first-person physics engine.

机构信息

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.

Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.

出版信息

Cogn Neuropsychol. 2021 Oct-Dec;38(7-8):455-467. doi: 10.1080/02643294.2022.2106126. Epub 2022 Aug 22.

Abstract

An overlapping set of brain regions in parietal and frontal cortex are engaged by different types of tasks and stimuli: (i) making inferences about the physical structure and dynamics of the world, (ii) passively viewing, or actively interacting with, manipulable objects, and (iii) planning and execution of reaching and grasping actions. We suggest the observed neural overlap is because a common computation is engaged by each of those different tasks: A forward model of physical reasoning about how first-person actions will affect the world and be affected by unfolding physical events. This perspective offers an account of why some physical predictions are systematically incorrect - there can be a mismatch between how physical scenarios are experimentally framed and the native format of the inferences generated by the brain's first-person physics engine. This perspective generates new empirical expectations about the conditions under which physical reasoning may exhibit systematic biases.

摘要

顶叶和额叶皮层中的重叠脑区被不同类型的任务和刺激所激活

(i) 推断世界的物理结构和动态,(ii) 被动观察或主动交互操作可操纵物体,以及 (iii) 计划和执行伸手和抓握动作。我们认为观察到的神经重叠是因为每个不同的任务都涉及到一个共同的计算:一种关于第一人称动作将如何影响世界以及如何受到展开的物理事件影响的物理推理的前向模型。这种观点提供了一种解释,说明为什么某些物理预测会系统地出错——在实验框架中呈现物理场景的方式与大脑的第一人称物理引擎生成的推理的固有格式之间可能存在不匹配。这种观点为物理推理可能表现出系统偏差的条件产生了新的经验预期。

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