Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Medical Research Building III, Suite 7110C, Nashville, TN, USA.
Exp Brain Res. 2013 Apr;225(4):479-89. doi: 10.1007/s00221-012-3387-y. Epub 2013 Jan 10.
The importance of multisensory integration for human behavior and perception is well documented, as is the impact that temporal synchrony has on driving such integration. Thus, the more temporally coincident two sensory inputs from different modalities are, the more likely they will be perceptually bound. This temporal integration process is captured by the construct of the temporal binding window-the range of temporal offsets within which an individual is able to perceptually bind inputs across sensory modalities. Recent work has shown that this window is malleable and can be narrowed via a multisensory perceptual feedback training process. In the current study, we seek to extend this by examining the malleability of the multisensory temporal binding window through changes in unisensory experience. Specifically, we measured the ability of visual perceptual feedback training to induce changes in the multisensory temporal binding window. Visual perceptual training with feedback successfully improved temporal visual processing, and more importantly, this visual training increased the temporal precision across modalities, which manifested as a narrowing of the multisensory temporal binding window. These results are the first to establish the ability of unisensory temporal training to modulate multisensory temporal processes, findings that can provide mechanistic insights into multisensory integration and which may have a host of practical applications.
多感觉整合对人类行为和感知的重要性是有据可查的,时间同步对驱动这种整合的影响也是如此。因此,来自不同感觉模式的两个感觉输入越同时发生,它们就越有可能被知觉绑定。这种时间整合过程由时间绑定窗口的构建来捕获——在这个范围内,个体能够在不同感觉模式之间进行知觉绑定。最近的研究表明,这个窗口是可塑的,可以通过多感觉感知反馈训练过程来缩小。在当前的研究中,我们通过研究单一感觉经验的变化来探索多感觉时间绑定窗口的可变性。具体来说,我们测量了视觉感知反馈训练对多感觉时间绑定窗口变化的影响。带有反馈的视觉感知训练成功地改善了时间视觉处理,更重要的是,这种视觉训练提高了跨模态的时间精度,表现为多感觉时间绑定窗口的缩小。这些结果首次确立了单一感觉时间训练调节多感觉时间过程的能力,这些发现可以为多感觉整合提供机制上的见解,并可能具有广泛的实际应用。