Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, 20251 Germany
Department of Psychology, Leiden University, Leiden, 2333 AK, The Netherlands.
J Neurosci. 2021 Jan 6;41(1):130-143. doi: 10.1523/JNEUROSCI.1103-20.2020. Epub 2020 Nov 10.
The ability to predict the timing of forthcoming events, known as temporal expectation, has a strong impact on human information processing. Although there is growing consensus that temporal expectations enhance the speed and accuracy of perceptual decisions, it remains unclear whether they affect the decision process itself, or non-decisional (sensory/motor) processes. Here, healthy human participants ( = 21; 18 female) used predictive auditory cues to anticipate the timing of low-contrast visual stimuli they were required to detect. Modeling of the behavioral data using a prominent sequential sampling model indicated that temporal expectations speeded up non-decisional processes but had no effect on decision formation. Electrophysiological recordings confirmed and extended this result: temporal expectations hastened the onset of a neural signature of decision formation but had no effect on its build-up rate. Anticipatory α band power was modulated by temporal expectation and co-varied with intrinsic trial-by-trial variability in behavioral and neural signatures of the onset latency of the decision process. These findings highlight how temporal predictions optimize our interaction with unfolding sensory events. Temporal expectation enhances performance, but the locus of this effect remains debated. Here, we contrasted the two dominant accounts: enhancement through (1) expedited decision onset, or (2) an increase in the quality of sensory evidence. We manipulated expectations about the onset of a dim visual target using a temporal cueing paradigm, and probed the locus of the expectation effect with two complementary approaches: drift diffusion modeling (DDM) of behavior, and estimation of the onset and progression of the decision process from a supramodal accumulation-to-bound signal in simultaneously measured EEG signals. Behavioral modeling and neural data provided strong, converging evidence for an account in which temporal expectations enhance perception by speeding up decision onset, without affecting evidence quality.
预测即将发生事件的能力,即时间预期,对人类信息处理有很大的影响。尽管越来越多的共识认为时间预期可以提高感知决策的速度和准确性,但仍然不清楚它们是否会影响决策过程本身,或者非决策性(感觉/运动)过程。在这里,健康的人类参与者(=21;18 名女性)使用预测性听觉线索来预测他们需要检测的低对比度视觉刺激的时间。使用一个著名的序列抽样模型对行为数据进行建模表明,时间预期会加速非决策过程,但对决策形成没有影响。 电生理记录证实并扩展了这一结果:时间预期会加快决策形成的神经信号的起始,但对其建立速度没有影响。 预期的α波段功率受到时间预期的调制,并且与行为和决策过程起始潜伏期的神经信号的内在试验间变异性相关。这些发现强调了时间预测如何优化我们与展开的感觉事件的交互作用。时间预期可以提高性能,但这种效果的位置仍存在争议。在这里,我们对比了两种主要的解释:(1)通过加快决策开始来增强,或者(2)通过提高感觉证据的质量来增强。我们使用时间提示范式来操纵对暗淡视觉目标开始的期望,并用两种互补的方法来探测期望效果的位置:行为的漂移扩散建模(DDM),以及从同时测量的 EEG 信号中的超模态累积到绑定信号中估计决策过程的起始和进展。行为建模和神经数据提供了强有力的、一致的证据,表明时间预期通过加快决策开始来增强感知,而不会影响证据质量。