Suppr超能文献

神经元会计算运动物理定律的内部模型。

Neurons compute internal models of the physical laws of motion.

作者信息

Angelaki Dora E, Shaikh Aasef G, Green Andrea M, Dickman J David

机构信息

Department of Neurobiology, Washington University School of Medicine, Saint Louis, Missouri 63110, USA.

出版信息

Nature. 2004 Jul 29;430(6999):560-4. doi: 10.1038/nature02754.

Abstract

A critical step in self-motion perception and spatial awareness is the integration of motion cues from multiple sensory organs that individually do not provide an accurate representation of the physical world. One of the best-studied sensory ambiguities is found in visual processing, and arises because of the inherent uncertainty in detecting the motion direction of an untextured contour moving within a small aperture. A similar sensory ambiguity arises in identifying the actual motion associated with linear accelerations sensed by the otolith organs in the inner ear. These internal linear accelerometers respond identically during translational motion (for example, running forward) and gravitational accelerations experienced as we reorient the head relative to gravity (that is, head tilt). Using new stimulus combinations, we identify here cerebellar and brainstem motion-sensitive neurons that compute a solution to the inertial motion detection problem. We show that the firing rates of these populations of neurons reflect the computations necessary to construct an internal model representation of the physical equations of motion.

摘要

自我运动感知和空间意识中的一个关键步骤是整合来自多个感觉器官的运动线索,这些感觉器官单独提供的物理世界表征并不准确。在视觉处理中发现了一个研究得最为透彻的感觉模糊性问题,它的出现是因为在检测小孔径内无纹理轮廓的运动方向时存在固有的不确定性。在内耳的耳石器官感知线性加速度时,识别与之相关的实际运动也会出现类似的感觉模糊性。这些内部线性加速度计在平移运动(例如向前奔跑)以及我们相对于重力重新定向头部时所经历的重力加速度(即头部倾斜)过程中的反应是相同的。通过使用新的刺激组合,我们在此识别出了小脑和脑干中对运动敏感的神经元,它们计算出了惯性运动检测问题的解决方案。我们表明,这些神经元群体的放电率反映了构建运动物理方程内部模型表征所需的计算。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验