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Habituation to abrupt-onset distractors with different spatial occurrence probability
Attention, Perception, & Psychophysics ( IF 1.7 ) Pub Date : 2022-07-18 , DOI: 10.3758/s13414-022-02531-1
Matteo Valsecchi 1 , Massimo Turatto 2
Affiliation  

Previous studies have shown that abrupt onsets randomly appearing at different locations can be ignored with practice, a result that was interpreted as an instance of habituation. Here we addressed whether habituation of capture can be spatially selective and determined by the rate of onset occurrence at different locations, and whether habituation is achieved via spatial suppression applied at the distractor location. In agreement with the habituation hypothesis, we found that capture attenuation was larger where the onset distractor occurred more frequently, similarly to what has been documented for feature-singleton distractors (the “distractor-location effect”), and that onset interference decreased across trials at both the high- and low-probability distractor locations. By contrast, evidence was inconclusive as to whether distractor filtering was also accompanied by a larger impairment in target processing when it appeared at the more likely distractor location (the “target-location effect”), as instead previously reported for feature-singleton distractors. Finally, here we discuss how and to what extent distractor rejection based on statistical learning and habituation of capture are different, and conclude that the two notions are intimately related, as the Sokolov model of habituation operates by comparing the upcoming sensory input with expectation based on the statistics of previous stimulation.



中文翻译:

对具有不同空间出现概率的突然发作的干扰物的习惯

先前的研究表明,随机出现在不同位置的突然发作可以通过练习忽略,这一结果被解释为习惯化的一个例子。在这里,我们讨论了捕获的习惯是否可以在空间上具有选择性并由不同位置的发生率决定,以及习惯是否通过在干扰位置应用的空间抑制来实现。与习惯假设一致,我们发现捕获衰减在起始干扰物发生更频繁的地方更大,类似于已记录的特征单一干扰物(“干扰物位置效应”),并且起始干扰在试验中减少在高概率和低概率干扰位置。相比之下,关于当干扰物过滤出现在更可能的干扰物位置(“目标位置效应”)时,干扰物过滤是否也伴随着更大的目标处理损伤,证据尚无定论,而不是之前针对特征单一干扰物的报道。最后,在这里我们讨论了基于统计学习的干扰物拒绝与捕获习惯的不同之处以及在多大程度上不同,并得出结论认为这两个概念密切相关,因为习惯化的索科洛夫模型通过将即将到来的感官输入与基于预期的期望进行比较来运作之前刺激的统计数据。

更新日期:2022-07-20
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