Asymmetric robotic gait training and asymmetric reaching training to induce both

描述（由申请人提供）：该候选人的博士工作主要集中在Lokomat机器人步态训练设备上，并测量患者在该设备训练期间施加的实际力。作为博士后，他目前正在研究啮齿动物机器人步态训练设备在颈脊髓损伤后恢复地面运动的能力，以及中枢神经系统对训练的潜在可塑性。在人类和动物机器人步态训练器中，训练包括主动引导肢体通过对称的健康步态模式。作为一名独立的研究人员，候选人建议研究不同的训练模式，特别是在不对称力场中的训练，以找到最佳的机器人训练。不对称训练也可以应用于其他任务，例如熟练的伸手。因此，候选人打算表明，运动和伸展的不对称训练将导致各种任务中更大的功能改善和更大的神经元可塑性，而不是传统的对称训练。通过在动物模型中发现最佳训练技术，可以改进临床训练实践。

DESCRIPTION (provided by applicant): The candidate's PhD work focused on the Lokomat robotic gait training device and measuring the actual forces that patients exerted during training in this device. As a postdoc he is currently investigating the ability of a rodent robotic gait training device to restore over ground locomotion following cervical spinal cord injury and the underlying plasticity of the central nervous system in response to the training. In both human and animal robotic gait trainers, the training consists of actively guiding the limbs through a symmetric healthy gait pattern. As an independent researcher the candidate proposes to study different training patterns, specifically training within asymmetric force fields, in order to findthe optimal robotic training. Asymmetric training can also be applied to other tasks, such as skilled reaching. Therefore, the candidate intends to show that the asymmetric training of both locomotion and reaching will lead to greater functional improvements in a variety of tasks and greater neuronal plasticity than the conventional symmetric training. By uncovering the optimal training techniques in animal models, clinical training practices may then be improved.