Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy.
Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy; National Institute of Neuroscience - Verona Unit, Verona, Italy.
Cortex. 2023 Dec;169:95-117. doi: 10.1016/j.cortex.2023.08.013. Epub 2023 Sep 30.
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).
最近有证据表明,确实存在专门的神经认知机制来抑制突出但不相关的干扰物。沿着这条线,可以合理地假设,在适当的情况下,依赖经验的注意学习形式可能会选择性地诱导这个专门电路中的可塑性变化,从而允许在注意力过滤的服务中独立地塑造优先级。相反,以前的工作表明,目标和干扰物空间概率分布的统计学习(SL)仅在调整位置的总体注意力优先级方面趋于一致:事实上,在存在独立的操作的情况下,无论是与目标相关还是仅与干扰物相关,SL 都会引起间接影响(例如,由于目标分布不均匀而导致过滤效率的变化),表明 SL 引起的可塑性变化会影响共享的神经基质。在这里,我们测试了当(冲突)目标和干扰物相关的操作同时应用于完全相同的位置时,专门的机制是否可以支持与所涉及的特定注意力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,健康的人类参与者在存在突出干扰物的情况下,忽略干扰物,对目标箭头的方向进行了辨别;目标和干扰物的空间概率分布都与每个单独的位置相关联地同时进行了操作。关键的是,目标相关的 SL 产生的选择偏差被不利的干扰物偶然性轻微地减少了,而干扰物相关的 SL 产生的抑制偏差被不利的目标偶然性抹去,甚至被反转了。我们的结果表明,即使是冲突的目标和干扰物相关的 SL 操作也会导致独特的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可塑性改变。