Structure learning in a sensorimotor association task.

Structure learning in a sensorimotor association task.
复制标题

DOI:
10.1371/journal.pone.0008973
复制
发表时间:
2010-01-29
期刊:
影响因子:
3.7
通讯作者:
Mehring C
Mehring C
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Braun DA;Waldert S;Aertsen A;Wolpert DM;Mehring C

文献摘要

参考文献

被引文献

相似文献

学习通常被理解为生物体逐渐获得给定的感觉刺激和正确的运动反应之间的联系。从数学上讲,这相当于回归观察集合和行动集合之间的映射。然而,最近,认知和运动神经科学都表明,人类不仅能够学习特定的刺激-反应映射,而且还能够提取抽象的结构不变量,从而促进对新任务的概括。在这里,我们展示了这种结构学习如何增强人类受试者执行感觉运动联想任务时的促进作用。使用回归和强化学习模型,我们表明观察到的促进不能用这些基本的学习刺激-反应关联模型来解释。然而,我们表明,观察到的数据可以通过执行结构学习的分层贝叶斯模型来解释。与先前认知任务的结果一致,这表明层次贝叶斯推理可能为解释特定刺激-反应关联的学习和不同任务环境中共享的抽象结构的学习提供了一个共同的框架。
Learning is often understood as an organism's gradual acquisition of the association between a given sensory stimulus and the correct motor response. Mathematically, this corresponds to regressing a mapping between the set of observations and the set of actions. Recently, however, it has been shown both in cognitive and motor neuroscience that humans are not only able to learn particular stimulus-response mappings, but are also able to extract abstract structural invariants that facilitate generalization to novel tasks. Here we show how such structure learning can enhance facilitation in a sensorimotor association task performed by human subjects. Using regression and reinforcement learning models we show that the observed facilitation cannot be explained by these basic models of learning stimulus-response associations. We show, however, that the observed data can be explained by a hierarchical Bayesian model that performs structure learning. In line with previous results from cognitive tasks, this suggests that hierarchical Bayesian inference might provide a common framework to explain both the learning of specific stimulus-response associations and the learning of abstract structures that are shared by different task environments.
DOI: 10.1073/pnas.0802631105
发表时间: 2008-08-05
影响因子: 11.1
作者:
Kemp, Charles;Tenenbaum, Joshua B.
通讯作者: Tenenbaum, Joshua B.
DOI: 10.1038/323533a0
发表时间: 1986-10-09
期刊: NATURE
影响因子: 64.8
作者:
RUMELHART, DE;HINTON, GE;WILLIAMS, RJ
通讯作者: WILLIAMS, RJ
DOI: 10.1111/j.1467-7687.2007.00585.x
发表时间: 2007-05-01
影响因子: 3.7
作者:
Kemp, Charles;Perfors, Amy;Tenenbaum, Joshua B.
通讯作者: Tenenbaum, Joshua B.
在行动中构建学习。
DOI: 10.1016/j.bbr.2009.08.031
发表时间: 2010-01-20
影响因子: 2.7
作者:
Braun, Daniel A.;Mehring, Carsten;Wolpert, Daniel M.
通讯作者: Wolpert, Daniel M.
DOI: 10.3758/bf03336395
发表时间: 1969-01-01
期刊: PSYCHONOMIC SCIENCE
影响因子: --
作者:
MACKINTO.NJ;LITTLE, L
通讯作者: LITTLE, L