LINP2, UPL, Université Paris Nanterre, 200 avenue de la République, Nanterre, 92000, France.
Equipe Géométrie et Dynamique, Paris-Cité, UFR de Mathématiques, Bâtiment Sophie Germain, 8 place Aurélie Nemours, Paris, 75013, France.
Cerebellum. 2024 Dec;23(6):2538-2563. doi: 10.1007/s12311-024-01693-y. Epub 2024 Apr 16.
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.
感知和运动系统似乎具有一组运动基元,这些基元表现出某些几何和运动不变性。复杂的模式和心理表征可以通过(重新)组合一些简单的运动元素,以各种方式使用基本操作、变换,并遵守一组称为运动定律的定律来产生。例如,点对点手部运动的特点是手部路径笔直,速度曲线呈单峰钟形,而曲线轨迹的手部速度曲线通常不规则且变化更大,在曲率峰值处出现速度谷和拐点极值。曲率和速度通常通过 2/3 幂定律相关。从欧几里得、仿射和等仿射几何的组合可以推导出这样的定律,其神经相关性已在包括小脑和基底神经节在内的各种大脑区域部分检测到。多年来,小脑在协调、平衡、姿势和时间控制方面的作用已得到证实。人们还假设小脑在与特定皮质和皮质下脑区的关系中计算内部前馈模型,但它与感知空间的运动关系尚不清楚。对小脑的几何和空间作用的重新关注可能有助于更好地理解其对动作感知循环和行为适应的特定贡献。从这个意义上说,我们用一个创新的理论框架来完成这个概述,该框架描述了小脑对遵循不同数学定律的几何形状的可能实现和选择。