Luthra Sahil, Razin Raha N, Tierney Adam T, Holt Lori L, Dick Frederic
Carnegie Mellon University.
University College London.
bioRxiv. 2024 Sep 23:2024.09.21.614258. doi: 10.1101/2024.09.21.614258.
Humans and other animals develop remarkable behavioral specializations for identifying, differentiating, and acting on classes of ecologically important signals. Ultimately, this expertise is flexible enough to support diverse perceptual judgments: a voice, for example, simultaneously conveys what a talker says as well as myriad cues about her identity and state. Mature perception across complex signals thus involves both discovering and learning regularities that best inform diverse perceptual judgments, and weighting this information flexibly as task demands change. Here, we test whether this flexibility may involve endogenous attentional gain to task-relevant dimensions. We use two prospective auditory category learning tasks to relate a complex, entirely novel soundscape to four classes of "alien identity" and two classes of "alien size." Identity, but not size, categorization requires discovery and learning of patterned acoustic input situated in one of two simultaneous, frequency-delimited bands. This allows us to capitalize on the coarsely segregated frequency-band-specific channels of auditory tonotopic maps using fMRI to ask whether category-relevant perceptual information is prioritized relative to simultaneous, uninformative information. Among participants expert at alien identity categorization, we observe prioritization of the diagnostic frequency band that persists even when the diagnostic information becomes irrelevant in the size categorization task. Tellingly, the neural selectivity evoked implicitly in categorization aligns closely with activation driven by explicit, sustained selective attention to other sounds presented in the same frequency band. Additionally, we observe fingerprints of individual differences in the learning trajectories taken to achieve expert-level categorization in patterns of neural activity associated with the diagnostic dimension. In all, this indicates that acquiring categories can drive the emergence of acquired attentional salience to dimensions of acoustic input.
人类和其他动物在识别、区分具有生态重要性的信号类别并据此采取行动方面发展出了卓越的行为专长。最终,这种专长具有足够的灵活性来支持多样的感知判断:例如,一个声音同时传达说话者所说的内容以及关于她的身份和状态的无数线索。因此,对复杂信号的成熟感知既涉及发现和学习最能为多样的感知判断提供信息的规律,也涉及随着任务需求的变化灵活权衡这些信息。在这里,我们测试这种灵活性是否可能涉及对与任务相关维度的内源性注意力增强。我们使用两项前瞻性听觉类别学习任务,将一个复杂的、全新的音景与四类“外星身份”和两类“外星大小”相关联。身份分类(而非大小分类)需要发现和学习位于两个同时存在的、频率限定频段之一中的有模式的声学输入。这使我们能够利用功能磁共振成像(fMRI)中听觉音调拓扑图的粗略分离的频段特定通道,来询问与类别相关的感知信息相对于同时存在的、无信息的信息是否具有优先性。在擅长外星身份分类的参与者中,我们观察到即使诊断信息在大小分类任务中变得无关紧要,诊断频段的优先性仍然持续存在。值得注意的是,在分类中隐含诱发的神经选择性与对同一频段中呈现的其他声音的明确、持续选择性注意所驱动的激活紧密对齐。此外,我们在与诊断维度相关的神经活动模式中观察到了个体差异的特征,这些差异体现在达到专家级分类所采取的学习轨迹中。总之,这表明获取类别可以驱动对声学输入维度的后天注意力显著性的出现。