Bartolo Ramon, Merchant Hugo
Instituto de Neurobiología, UNAM, Campus Juriquilla, Queretaro, México.
Exp Brain Res. 2009 Jul;197(1):91-100. doi: 10.1007/s00221-009-1895-1. Epub 2009 Jun 19.
This article investigated both the ability of naive human subjects to learn interval production, as well as the properties of learning generalization across modalities and interval durations that varied systematically from the over-trained interval. Human subjects trained on a 450-, 650-, or 850-ms single-interval production task, using auditory stimuli to define the intervals, showed a significant decrease in performance variability with intensive training. This learning generalized to the visual modality and to non-trained durations following a Gaussian transfer pattern. However, the learning carryover followed different rules, depending on the duration of the trained interval as follows: (1) the dispersion of the generalization curve increased as a function of the trained interval, (2) the generalization pattern was tilted to the right in the visual condition, and (3) the transfer magnitude for 650 ms was less prominent than for the other two intervals. These findings suggest the existence of neural circuits that are tuned to specific time lengths and that show different temporal processing properties depending on their preferred interval duration.
本文研究了未接触过相关训练的人类受试者学习间隔生成的能力,以及跨模态和间隔时长的学习泛化特性,这些跨模态和间隔时长与过度训练的间隔时长相比有系统变化。使用听觉刺激来定义间隔,在450毫秒、650毫秒或850毫秒的单间隔生成任务上接受训练的人类受试者,在强化训练后表现出性能变异性显著降低。这种学习遵循高斯转移模式,泛化到视觉模态和未训练的时长。然而,学习迁移遵循不同的规则,这取决于训练间隔的时长,具体如下:(1)泛化曲线的离散度随着训练间隔时长的增加而增加;(2)在视觉条件下,泛化模式向右倾斜;(3)650毫秒的迁移幅度不如其他两个间隔明显。这些发现表明存在针对特定时长进行调整的神经回路,并且这些神经回路根据其偏好的间隔时长表现出不同的时间处理特性。