Multimodal evidence challenges the effectiveness of probabilistic cueing for establishing sensory expectations.

Imaging neuroscience (Cambridge, Mass.) Pub Date : 2025-09-16 eCollection Date: 2025-01-01 DOI:10.1162/IMAG.a.152
Ziyue Hu, Dominic M D Tran, Reuben Rideaux
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Abstract

Predictive coding theories posit a reduction in error-signaling neural activity when incoming sensory input matches existing expectations-a phenomenon termed expectation suppression. However, the empirical evidence for expectation suppression, as well as its underlying neural mechanism, is contentious. A further aspect of predictive coding that remains untested is how predictions are integrated across sensorimotor domains. To investigate these two questions, we employed a novel cross-domain probabilistic cueing paradigm, where participants were presented with both visual and motor cues within a single trial. These cues manipulated the orientation and temporal expectancy of target stimuli with 75% validity. Participants completed a reproduction task where they rotated a bar to match the orientation of the target stimulus while their neural and pupil responses were respectively measured via electroencephalography and eye tracking. Our results showed a consistent, feature-unspecific effect of motor expectancy across multiple measures, while evidence for visual expectancy was limited. However, neither motor nor visual expectancy modulated the fidelity of sensory representations. These results indicate that violations of temporal expectancy in the current study may reveal the brain's intrinsic sensitivity to temporal regularities in the natural settings, rather than feature-specific predictions. In contrast, the absence of visual expectancy effects in both neural and pupillometry results adds to a growing body of evidence questioning the effectiveness of probabilistic cueing paradigms for establishing expectations capable of altering sensory representations. Due to null findings in the visual and sensory representation analyses, we did not further investigate cross-domain prediction integration.

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多模态证据挑战了概率线索在建立感官期望方面的有效性。
预测编码理论假设,当传入的感官输入与现有的期望相匹配时,错误信号的神经活动会减少,这种现象被称为期望抑制。然而,期望抑制的经验证据及其潜在的神经机制是有争议的。预测编码的另一个未被测试的方面是如何在感觉运动领域整合预测。为了研究这两个问题,我们采用了一种新颖的跨域概率线索范式,即在一次试验中同时向参与者提供视觉和运动线索。这些线索以75%的效度操纵目标刺激的取向和时间预期。参与者完成了一项复制任务,他们旋转一根棒子以匹配目标刺激的方向,同时通过脑电图和眼动追踪分别测量他们的神经和瞳孔反应。我们的结果显示,运动预期在多种测量中具有一致的、特征非特异性的影响,而视觉预期的证据有限。然而,运动期望和视觉期望都不能调节感觉表征的保真度。这些结果表明,在当前的研究中,违反时间预期可能揭示了大脑对自然环境中时间规律的内在敏感性,而不是特定特征的预测。相比之下,神经和瞳孔测量结果中都没有视觉期望效应,这增加了越来越多的证据,质疑概率线索范式在建立能够改变感官表征的期望方面的有效性。由于在视觉和感觉表征分析中没有发现任何结果,我们没有进一步研究跨域预测整合。
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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