Hadjiosif Alkis M, Abraham George, Ranjan Tanvi, Smith Maurice A
bioRxiv. 2024 Apr 7:2024.03.14.585093. doi: 10.1101/2024.03.14.585093.
Short sub-100ms visual feedback latencies are common in many types of human-computer interactions yet are known to markedly reduce performance in a wide variety of motor tasks from simple pointing to operating surgical robotics. These latencies are also present in the computer-based experiments used to study the sensorimotor learning that underlies the acquisition of motor performance. Inspired by neurophysiological findings showing that cerebellar LTD and cortical LTP would both be disrupted by sub-100ms latencies, we hypothesized that implicit sensorimotor learning may be particularly sensitive to these short latencies. Remarkably, we find that improving latency by just 60ms, from 85 to 25ms in latency-optimized experiments, increases implicit learning by 50% and proportionally decreases explicit learning, resulting in a dramatic reorganization of sensorimotor memory. We go on to show that implicit sensorimotor learning is considerably more sensitive to latencies in the sub-100ms range than at higher latencies, in line with the latency-specific neural plasticity that has been observed. This suggests a clear benefit for latency reduction in computer-based training that involves implicit sensorimotor learning and that across-study differences in implicit motor learning might often be explained by disparities in feedback latency.
在许多类型的人机交互中,短至100毫秒以下的视觉反馈延迟很常见,但已知在从简单指向到操作手术机器人等各种各样的运动任务中,这种延迟会显著降低性能。在用于研究运动表现习得背后的感觉运动学习的计算机实验中也存在这些延迟。受神经生理学研究结果的启发,这些结果表明小脑长时程抑制(LTD)和皮质长时程增强(LTP)都会因100毫秒以下的延迟而受到干扰,我们推测内隐感觉运动学习可能对这些短延迟特别敏感。值得注意的是,我们发现在延迟优化实验中,将延迟仅提高60毫秒,从85毫秒降至25毫秒,内隐学习增加了50%,同时外显学习相应减少,从而导致感觉运动记忆的显著重组。我们进一步表明,与更高延迟相比,内隐感觉运动学习对100毫秒以下范围内的延迟更为敏感,这与已观察到的特定延迟神经可塑性一致。这表明在涉及内隐感觉运动学习的基于计算机的训练中,减少延迟有明显益处,并且跨研究的内隐运动学习差异可能常常由反馈延迟的差异来解释。