Acquisition and Utilization of Recursive Rules in Motor Sequence Generation

IF 2.4 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Maurício D. Martins, Zoe Bergmann, Elena Leonova, Roberta Bianco, Daniela Sammler, Arno Villringer
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Abstract

Recursive hierarchical embedding allows humans to generate multiple hierarchical levels using simple rules. We can acquire recursion from exposure to linguistic and visual examples, but only develop the ability to understand “multiple-level” structures like “[[second] red] ball]” after mastering “same-level” conjunctions like “[second] and [red] ball.” Whether we can also learn recursion in motor production remains unexplored. Here, we tested 40 adults’ ability to learn and generate sequences of finger movements using “multiple-level” recursion and “same-level” iteration rules (like linguistic conjunction). Rule order was counterbalanced. First, they learned the generative rules (without explicit rule instructions or feedback) by executing examples of motor sequences based on visual cues displayed on the screen (learning). Second, participants were asked to discriminate between correct and incorrect motor sequences beyond those to which they were previously exposed (discrimination). Finally, they were asked to use the rules to generate new hierarchical levels consistent with the previously given (generation). We repeated the procedure (all three phases) on 2 days, allowing for a night of sleep. We found that most participants could discriminate correct/incorrect sequences based on recursive rules and use recursive rules to generate new hierarchical levels in motor sequences, but mostly on the second day of testing, and when they had acquired iterative before recursive rules. This aligns with previous literature on vision and language and with literature showing that sleep is necessary to generate abstract knowledge of motor sequences. Lastly, we found that the ability to discriminate well-formed motor sequences using recursion was insufficient for motor generativity.

Abstract Image

电机序列生成中递归规则的获取与应用
递归层次嵌入允许人们使用简单的规则生成多个层次。我们可以通过接触语言和视觉例子来获得递归,但只有在掌握了像“[第二个]红球]”这样的“同级”连词之后,才能发展理解“多层”结构的能力,比如“[第二个]红球]”。我们是否也可以在电机生产中学习递归仍然没有探索。在这里,我们测试了40名成年人使用“多级”递归和“同级”迭代规则(如语言连接)学习和生成手指动作序列的能力。规则秩序得到了平衡。首先,他们通过执行基于屏幕上显示的视觉线索的运动序列示例(学习)来学习生成规则(没有明确的规则指令或反馈)。其次,参与者被要求区分正确和不正确的运动序列,而不是他们之前接触过的(歧视)。最后,他们被要求使用这些规则来生成与之前给出的一致的新层次(生成)。我们在两天内重复这个过程(所有三个阶段),允许一个晚上的睡眠。我们发现大多数被试能够根据递归规则区分正确/错误的序列,并使用递归规则在运动序列中产生新的层次水平,但主要是在测试的第二天,当他们在递归规则之前获得迭代规则时。这与先前关于视觉和语言的文献一致,也与表明睡眠对于产生运动序列的抽象知识是必要的文献一致。最后,我们发现使用递归区分格式良好的运动序列的能力不足以产生运动。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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