Influence of truthful and misleading instructions on statistical learning across the autism spectrum

bioRxiv Pub Date : 2024-07-16 DOI:10.1101/2024.07.12.603256
Nikitas Angeletos Chrysaitis, Peggy Seriès
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Abstract

Bayesian studies of perception have documented how the brain learns the statistics of a new environment and uses them to interpret sensory information. Impairments in this process have been hypothesised to be central to autism spectrum disorders. However, very few such studies have differentiated between implicit and explicit learning. We manipulated the instructions given before a cue-stimulus association task to investigate their effects on statistical learning. The task was conducted online, in 335 participants with varying autistic traits. In the implicit condition, where no information was provided, participants acquired weak prior beliefs about the task regularities. Conversely, explicit information about the presence of regularities resulted in strong priors, correctly reflecting the task’s statistics, regardless of the information’s veracity. Autistic traits correlated with greater uncertainty and faster updating in the implicit condition, but no significant differences were found in the influence of priors. Our findings illuminate how instructions affect statistical learning and how these effects differ across the autism spectrum. Author Summary Perception is greatly influenced by the brain’s prior knowledge of the environment, through a process called Bayesian inference. Recent theories of psychiatric disorders and particularly autism view them as impairments in this process. A crucial aspect of this process is how individuals form their knowledge of the environment. However, previous studies have not differentiated between learning that occurs when participants are aware of what they are learning and learning that happens implicitly. In the present study, we conducted an experiment with four conditions, each varying in terms of what participants were trying to learn and whether they were aware of the general form of the regularities. Our findings revealed that participants form much stronger beliefs about the regularities when they are informed about their presence. Additionally, we discovered that participants with strong autistic traits tend to be slightly more uncertain in their beliefs and quicker to update them, but only when they are unaware of the presence of regularities.
真实和误导性指令对自闭症谱系统计学习的影响
对感知的贝叶斯研究记录了大脑如何学习新环境的统计数据,并利用它们来解释感官信息。这一过程中的障碍被假定为自闭症谱系障碍的核心。然而,很少有此类研究能区分内隐学习和外显学习。我们操纵了线索-刺激联想任务前给出的指令,以研究其对统计学习的影响。该任务由 335 名具有不同自闭症特征的参与者在线完成。在没有提供任何信息的隐性条件下,参与者获得了关于任务规律性的微弱先验信念。相反,无论信息的真实性如何,关于存在规律性的明确信息都会导致较强的先验信念,从而正确反映任务的统计数据。在内隐条件下,自闭症特征与更大的不确定性和更快的更新速度相关,但在先验的影响方面没有发现显著差异。我们的研究结果阐明了指令如何影响统计学习,以及这些影响在自闭症谱系中的差异。作者简介 感知在很大程度上受到大脑对环境的先验知识的影响,这一过程被称为贝叶斯推理。最近关于精神障碍,尤其是自闭症的理论将其视为这一过程中的障碍。这一过程的一个重要方面是个体如何形成对环境的认知。然而,以往的研究并没有区分参与者意识到自己在学习什么时发生的学习和内隐发生的学习。在本研究中,我们进行了一项包含四种条件的实验,每种条件都因参与者试图学习的内容和他们是否意识到规律性的一般形式而有所不同。我们的研究结果表明,当参与者被告知规律性的存在时,他们会对规律性形成更强烈的信念。此外,我们还发现,具有强烈自闭症特征的参与者的信念往往会稍显不确定,更新也更快,但只有在他们不知道规律性存在的情况下才会如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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