小脑在构建功能空间和几何空间中的作用

Eya Torkhani Langlois, Daniel Bennequin, Giovanni de Marco
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摘要

感知和运动系统似乎有一套运动基元,它们表现出一定的几何和运动学不变性。通过使用基本操作、变换和遵守一组称为运动学规律的法则,以各种方式(重新)组合一些简单的运动元素,可以产生复杂的模式和心理表征。例如,点对点手部运动的特点是手部运动轨迹呈直线,速度曲线呈单峰钟形,而弯曲轨迹的手部速度曲线通常不规则且变化较大,速度谷和拐点极值出现在曲率峰值处。曲率和速度之间通常存在 2/3 的幂律关系。在数学上,这种规律可以从欧几里得、仿射和等仿射几何图形的组合中推导出来,其神经相关性已在包括小脑和基底神经节在内的多个脑区中得到部分检测。多年来,人们发现小脑在控制协调、平衡、姿势和时间方面发挥着重要作用。人们还认为,小脑与特定的皮层和皮层下脑区共同计算前向内部模型,但其与感知空间的运动关系尚不清楚。重新关注小脑在几何和空间方面的作用,有助于更好地理解小脑对动作-感知环路和行为适应的具体贡献。在这个意义上,我们通过一个创新的理论框架来完成本综述,该框架描述了小脑对遵循不同数学定律的几何图形的可能实现和选择。
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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Role of the Cerebellum in the Construction of Functional and Geometrical Spaces

The perceptual and motor systems appear to have a set of movement primitives that exhibit certain geometric and kinematic invariances. Complex patterns and mental representations can be produced by (re)combining some simple motor elements in various ways using basic operations, transformations, and respecting a set of laws referred to as kinematic laws of motion. For example, point-to-point hand movements are characterized by straight hand paths with single-peaked-bell-shaped velocity profiles, whereas hand speed profiles for curved trajectories are often irregular and more variable, with speed valleys and inflections extrema occurring at the peak curvature. Curvature and speed are generically related by the 2/3 power law. Mathematically, such laws can be deduced from a combination of Euclidean, affine, and equi-affine geometries, whose neural correlates have been partially detected in various brain areas including the cerebellum and the basal ganglia. The cerebellum has been found to play an important role in the control of coordination, balance, posture, and timing over the past years. It is also assumed that the cerebellum computes forward internal models in relationship with specific cortical and subcortical brain regions but its motor relationship with the perceptual space is unclear. A renewed interest in the geometrical and spatial role of the cerebellum may enable a better understanding of its specific contribution to the action-perception loop and behavior’s adaptation. In this sense, we complete this overview with an innovative theoretical framework that describes a possible implementation and selection by the cerebellum of geometries adhering to different mathematical laws.

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