Department of Neurobiology, Physiology and Behaviour, University of California, Davis, CA, USA.
Department of Psychology, George Mason University, Fairfax, VA, USA.
Proc Biol Sci. 2023 Feb 8;290(1992):20222060. doi: 10.1098/rspb.2022.2060. Epub 2023 Feb 1.
Our subjective sense of time is intertwined with a plethora of perceptual, cognitive and motor functions, and likewise, the brain is equipped to expertly filter, weight and combine these signals for seamless interactions with a dynamic world. Until relatively recently, the literature on time perception has excluded the influence of simultaneous motor activity, yet it has been found that motor circuits in the brain are at the core of most timing functions. Several studies have now identified that concurrent movements exert robust effects on perceptual timing estimates, but critically have not assessed how humans consciously judge the duration of their own movements. This creates a gap in our understanding of the mechanisms driving movement-related effects on sensory timing. We sought to address this gap by administering a sensorimotor timing task in which we explicitly compared the timing of isolated auditory tones and arm movements, or both simultaneously. We contextualized our findings within a Bayesian cue combination framework, in which separate sources of temporal information are weighted by their reliability and integrated into a unitary time estimate that is more precise than either unisensory estimate. Our results revealed differences in accuracy between auditory, movement and combined trials, and (crucially) that combined trials were the most accurately timed. Under the Bayesian framework, we found that participants' combined estimates were more precise than isolated estimates, yet were sub-optimal when compared with the model's prediction, on average. These findings elucidate previously unknown qualities of conscious motor timing and propose computational mechanisms that can describe how movements combine with perceptual signals to create unified, multimodal experiences of time.
我们对时间的主观感知与众多感知、认知和运动功能交织在一起,同样,大脑也具备出色的能力,可以对这些信号进行过滤、加权和组合,从而与动态世界进行无缝交互。直到最近,时间感知的文献都排除了同时进行的运动活动的影响,但人们发现,大脑中的运动回路是大多数计时功能的核心。现在有几项研究已经确定,同时进行的运动对感知时间估计产生了强大的影响,但关键是,这些研究没有评估人类如何有意识地判断自己运动的持续时间。这在我们对驱动与运动相关的感官计时效应的机制的理解上造成了一个空白。我们通过进行一项感觉运动计时任务来解决这个空白,在这个任务中,我们明确比较了孤立的听觉音调和手臂运动的时间,或者同时比较这两者的时间。我们将研究结果置于贝叶斯线索组合框架内,在该框架中,不同的时间信息源根据其可靠性进行加权,并整合为一个比单一感觉估计更精确的单一时间估计。我们的研究结果揭示了听觉、运动和组合试验之间在准确性上的差异,并且(至关重要的是),组合试验的时间估计最为精确。在贝叶斯框架下,我们发现参与者的组合估计比孤立估计更精确,但与模型的预测相比平均而言并不理想。这些发现阐明了有意识的运动计时的先前未知的性质,并提出了可以描述运动如何与感知信号相结合以创造统一的、多模态的时间体验的计算机制。