Error-enhanced Learning & Recovery in 2 & 3 Dimensions

摘要 用物理装置（机械疗法）治疗中风后个体， 复苏虽然临床医生广泛认识到治疗应该集中在运动错误，但目前还没有 再学习的“模型”，可以为治疗的设计提供信息。我们将开发个性化的数学 每个人对错误的独特反应的模型，既可以作为描述，也可以作为测试的假设 实践环境，以纠正个人的缺陷。我们的目标是建立和测试治疗模型， (1)错误的中心倾向，（2）对错误的感觉贡献，和（3）错误的变化。我们预期将面临 研究结果不仅将揭示如何改善治疗，它将测试有关基本的假设。 实践和学习的过程。这项工作将使我们更接近我们的长期目标， 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.