Compositionality in neural control: an interdisciplinary study of scribbling movements in primates
Compositionality in neural control: an interdisciplinary study of scribbling movements in primates
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DOI：
10.3389/fncom.2013.00103
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发表时间：
2013-09-12
影响因子：
3.2
通讯作者：
Teicher, Mina
中科院分区：
文献类型：
--
作者：
Abeles, Moshe;Diesmann, Markus;Teicher, Mina
本文讨论了手部动作的组成结构，通过分析和建模神经和行为数据从实验中获得的猴子（Macaca fascicularis）进行涂鸦运动引起的搜索任务。使用基于几何的方法来运动分割，它表明，手的轨迹是由基本段，主要是抛物线形状。可以基于在训练过程中减少类内方差将片段分类为少量类。采用隐马尔可夫模型的神经数据的一个单独的分类显示了神经状态与行为类别的重合。通过数据挖掘方法对这两种类型的数据进行的额外分析提供了证据，表明行为基元背后的神经活动模式是由特定和精确的尖峰模式集形成的。运动轨迹的几何描述，加上精确的神经时序数据表明一个现实的synfire链模型的组成变体。该模型再现了轨迹的典型形状和时间属性;因此基元的结构和组成可以反映有意义的行为。
This article discusses the compositional structure of hand movements by analyzing and modeling neural and behavioral data obtained from experiments where a monkey (Macaca fascicularis) performed scribbling movements induced by a search task. Using geometrically based approaches to movement segmentation, it is shown that the hand trajectories are composed of elementary segments that are primarily parabolic in shape. The segments could be categorized into a small number of classes on the basis of decreasing intra-class variance over the course of training. A separate classification of the neural data employing a hidden Markov model showed a coincidence of the neural states with the behavioral categories. An additional analysis of both types of data by a data mining method provided evidence that the neural activity patterns underlying the behavioral primitives were formed by sets of specific and precise spike patterns. A geometric description of the movement trajectories, together with precise neural timing data indicates a compositional variant of a realistic synfire chain model. This model reproduces the typical shapes and temporal properties of the trajectories; hence the structure and composition of the primitives may reflect meaningful behavior.