Error-enhanced Learning & Recovery in 2 & 3 Dimensions

摘要 使用物理设备(机械疗法)治疗中风后患者产生了轻微但显著的效果 恢复。虽然临床医生普遍认为治疗应该集中在运动错误上，但目前还没有 可以为治疗设计提供信息的重新学习的“模型”。我们将开发一种个性化的数学 每个人对错误的独特反应模型，既可以作为描述符，也可以作为测试的假设 纠正个人缺陷的实践环境。我们的目标将是建立和测试专注于 (1)错误的中心倾向；(2)错误的感官因素；(3)错误的变化。我们期待的 这些发现不仅将阐明如何改进治疗，还将检验关于 实践和学习的过程。这项工作将使我们更接近了解最多知识的长期目标 有效的治疗，使用治疗师或设备。

ABSTRACT Treating post-stroke individuals with physical devices (mechanoceuticals) has produced mild but significant recovery. While clinicians widely recognize that therapy should focus on movement error, there is currently no “model” of relearning that can inform the design of treatments. We will develop an individualized mathematical model of each person’s unique response to error that can serve both as a descriptor and a hypothesis for testing the practice environment to correct the individual’s deficits. Our aims will model and test therapy that focuses on (1) central tendencies of error, (2) sensory contributions to error, and (3) variations of error. Our anticipated findings will not only shed light on how to improve therapy, it will test hypotheses about the fundamental processes of practice and learning. This work will move us closer to our long-term goal of knowing the most effective treatments, using either therapists or devices.