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内隐序列学习中的特征码:感知到的刺激位置转移到运动反应位置。

Feature codes in implicit sequence learning: perceived stimulus locations transfer to motor response locations.

机构信息

Department of Psychology, University of Cologne, Richard-Strauss-Str. 2, 50931, Cologne, Germany.

出版信息

Psychol Res. 2020 Feb;84(1):192-203. doi: 10.1007/s00426-018-0980-0. Epub 2018 Jan 16.

DOI:10.1007/s00426-018-0980-0
PMID:29340773
Abstract

An important question in implicit sequence learning research is how the learned information is represented. In earlier models, the representations underlying implicit learning were viewed as being either purely motor or perceptual. These different conceptions were later integrated by multidimensional models such as the Dual System Model of Keele et al. (Psychol Rev 110(2):316-339, 2003). According to this model, different types of sequential information can be learned in parallel, as long as each sequence comprised only one single dimension (e.g., shapes, colors, or response locations). The term dimension, though, is underspecified as it remains an open question whether the involved learning modules are restricted to motor or to perceptual information. This study aims to show that the modules of the implicit learning system are not specific to motor or perceptual processing. Rather, each module processes an abstract feature code which represents both response- and perception-related information. In two experiments, we showed that perceiving a stimulus-location sequence transferred to a motor response-location sequence. This result shows that the mere perception of a sequential feature automatically leads to an activation of the respective motor feature, supporting the notion of abstract feature codes being the basic modules of the implicit learning system. This result could only be obtained, though, when the task instructions emphasized the encoding of the stimulus-locations as opposed to an encoding of the color features. This limitation will be discussed taking into account the importance of the instructed task set.

摘要

内隐序列学习研究中的一个重要问题是学习到的信息是如何表示的。在早期的模型中,内隐学习的表示被视为纯粹的运动或感知。这些不同的概念后来被多维模型如 Keele 等人的双系统模型(Psychol Rev 110(2):316-339, 2003)整合。根据该模型,只要每个序列只包含一个单一维度(例如形状、颜色或反应位置),不同类型的序列信息就可以并行学习。然而,术语“维度”没有具体说明,因为参与学习的模块是否仅限于运动或感知信息仍然是一个悬而未决的问题。本研究旨在表明,内隐学习系统的模块不是特定于运动或感知处理的。相反,每个模块处理一个代表反应和感知相关信息的抽象特征码。在两个实验中,我们表明感知刺激-位置序列会转移到运动反应-位置序列。这一结果表明,对序列特征的单纯感知会自动导致相应的运动特征的激活,支持了抽象特征码是内隐学习系统的基本模块的概念。然而,只有当任务指令强调对刺激位置的编码而不是对颜色特征的编码时,才能得到这个结果。考虑到指令任务集的重要性,将对这一限制进行讨论。

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Implicit visual learning: how the task set modulates learning by determining the stimulus-response binding.内隐视觉学习:任务集如何通过确定刺激-反应联结来调节学习。
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Using confidence intervals in within-subject designs.
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Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning.在序列学习的预测过程中,模态特异性和模态独立性的神经表示协同工作。
Cereb Cortex. 2023 Jun 8;33(12):7783-7796. doi: 10.1093/cercor/bhad079.
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Action-effect knowledge transfers to similar effect stimuli.动作-效应知识可转移到相似的效应刺激上。
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Parallel Acquisition of Uncorrelated Sequences does Not Provide Firm Evidence for a Modular Sequence-Learning System.不相关序列的并行获取并不能为模块化序列学习系统提供确凿证据。
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Why Does Dual-Tasking Hamper Implicit Sequence Learning?为什么多任务处理会妨碍内隐序列学习?
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Implicit visual learning and the expression of learning.内隐视觉学习与学习的表达。
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On the modularity of implicit sequence learning: independent acquisition of spatial, symbolic, and manual sequences.内隐序列学习的模块化:空间、符号和手动序列的独立习得。
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Implicit sequence learning based on instructed task set.基于指令任务集的内隐序列学习。
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