Statistical learning of target and distractor spatial probability shape a common attentional priority computation

IF 3.2 2区 心理学 Q1 BEHAVIORAL SCIENCES Cortex Pub Date : 2023-09-30 DOI:10.1016/j.cortex.2023.08.013
Oscar Ferrante , Leonardo Chelazzi , Elisa Santandrea
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引用次数: 2

Abstract

Converging evidence recently put forward the notion that dedicated neurocognitive mechanisms do exist for the suppression of salient, but irrelevant distractors. Along this line, it is plausible to hypothesize that, in appropriate contexts, experience-dependent forms of attentional learning might selectively induce plastic changes within this dedicated circuitry, thus allowing an independent shaping of priorities at the service of attentional filtering. Conversely, previous work suggested that statistical learning (SL) of both target and distractor spatial probability distributions converge in adjusting only the overall attentional priority of locations: in fact, in the presence of an independent manipulation, either related to the target or to the distractor only, SL induces indirect effects (e.g., changes in filtering efficiency due to an uneven distribution of targets), suggesting that SL-induced plastic changes affect a shared neural substrate. Here we tested whether, when (conflicting) target- and distractor-related manipulations are concurrently applied to the very same locations, dedicated mechanisms might support the selective encoding of spatial priority in relation to the specific attentional operation involved. In three related experiments, human healthy participants discriminated the direction of a target arrow, while ignoring a salient distractor, if present; both target and distractor spatial probability distributions were concurrently manipulated in relation to each single location. Critically, the selection bias produced by the target-related SL was marginally reduced by an adverse distractor contingency, and the suppression bias generated by the distractor-related SL was erased, or even reversed, by an adverse target contingency. Our results suggest that even conflicting target- and distractor-related SL manipulations result in the adjustment of a unique spatial priority computation, likely because the process directly relies on direct plastic alterations of shared spatial priority map(s).

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目标和干扰物空间概率的统计学习形成了一种常见的注意力优先级计算。
最近汇集的证据提出了这样一种观点,即确实存在专门的神经认知机制来抑制显著但不相关的干扰物。沿着这条线,可以假设,在适当的情况下,依赖经验的注意力学习形式可能会选择性地在这个专用电路中诱导可塑性变化,从而允许独立地确定优先事项,为注意力过滤服务。相反,先前的工作表明,目标和干扰物空间概率分布的统计学习(SL)在仅调整位置的整体注意力优先级方面收敛:事实上,在存在独立操纵的情况下,无论是与目标有关还是仅与干扰物有关,SL诱导间接效应(例如,由于目标的不均匀分布而导致的过滤效率的变化),表明SL诱导的塑性变化影响共享的神经基质。在这里,我们测试了当(冲突的)目标和干扰物相关的操作同时应用于相同的位置时,专用机制是否可以支持与所涉及的特定注意操作相关的空间优先级的选择性编码。在三个相关的实验中,健康的人类参与者辨别目标箭头的方向,而忽略显著的干扰物(如果存在);目标和干扰物的空间概率分布都被同时操纵,与每个单个位置相关。至关重要的是,与目标相关的SL产生的选择偏倚被不利的干扰物偶然性略微降低,而与干扰物相关的SL所产生的抑制偏倚被不良的目标偶然性消除,甚至逆转。我们的结果表明,即使是与目标和干扰物相关的冲突SL操作也会导致独特空间优先级计算的调整,这可能是因为该过程直接依赖于共享空间优先级图的直接塑性改变。
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来源期刊
Cortex
Cortex 医学-行为科学
CiteScore
7.00
自引率
5.60%
发文量
250
审稿时长
74 days
期刊介绍: CORTEX is an international journal devoted to the study of cognition and of the relationship between the nervous system and mental processes, particularly as these are reflected in the behaviour of patients with acquired brain lesions, normal volunteers, children with typical and atypical development, and in the activation of brain regions and systems as recorded by functional neuroimaging techniques. It was founded in 1964 by Ennio De Renzi.
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