Department of Psychology, Giessen University, Otto-Behaghel-Str. 10F, 35394 Giessen, Germany.
Exp Brain Res. 2011 Apr;210(1):67-80. doi: 10.1007/s00221-011-2603-5. Epub 2011 Mar 4.
Many perceptual cue combination studies have shown that humans can integrate sensory information across modalities as well as within a modality in a manner that is close to optimal. While the limits of sensory cue integration have been extensively studied in the context of perceptual decision tasks, the evidence obtained in the context of motor decisions provides a less consistent picture. Here, we studied the combination of visual and haptic information in the context of human arm movement control. We implemented a pointing task in which human subjects pointed at an invisible unknown target position whose vertical position varied randomly across trials. In each trial, we presented a haptic and a visual cue that provided noisy information about the target position half-way through the reach. We measured pointing accuracy as function of haptic and visual cue onset and compared pointing performance to the predictions of a multisensory decision model. Our model accounts for pointing performance by computing the maximum a posteriori estimate, assuming minimum variance combination of uncertain sensory cues. Synchronicity of cue onset has previously been demonstrated to facilitate the integration of sensory information. We tested this in trials in which visual and haptic information was presented with temporal disparity. We found that for our sensorimotor task temporal disparity between visual and haptic cue had no effect. Sensorimotor learning appears to use all available information and to apply the same near-optimal rules for cue combination that are used by perception.
许多感知线索组合研究表明,人类可以在模式间以及模式内以接近最优的方式整合感觉信息。虽然在感知决策任务的背景下,对感觉线索整合的限制已经进行了广泛的研究,但在运动决策背景下获得的证据提供了一个不太一致的图景。在这里,我们研究了人类手臂运动控制中视觉和触觉信息的组合。我们实施了一个指向任务,在该任务中,人类受试者指向一个看不见的未知目标位置,该目标位置的垂直位置在每次试验中随机变化。在每次试验中,我们呈现了一个触觉和视觉线索,它们在到达过程中的一半提供了关于目标位置的嘈杂信息。我们将指向精度作为触觉和视觉线索起始的函数进行测量,并将指向性能与多感官决策模型的预测进行比较。我们的模型通过计算最大后验估计来解释指向性能,假设对不确定感觉线索进行最小方差组合。先前已经证明,线索起始的同步性有助于感觉信息的整合。我们在视觉和触觉信息呈现时间差异的试验中测试了这一点。我们发现,对于我们的感觉运动任务,视觉和触觉线索之间的时间差异没有影响。感觉运动学习似乎利用了所有可用的信息,并应用了相同的近最优规则来组合线索,这些规则用于感知。