运动(音乐)
组分(热力学)
计算机科学
运动控制
人工智能
物理医学与康复
医学
热力学
美学
物理
哲学
作者
Raghu Sesha Iyengar,Kapardi Mallampalli,A. Singh,Aditya Koppula,Kousik Sarathy Sridharan,Mohan Raghavan
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2023-01-01
卷期号:: 161-197
标识
DOI:10.1016/b978-0-12-823913-1.00015-4
摘要
Movement is a result of complex interaction between neural and musculoskeletal systems. Realistic movement modeling demands integration between models of both these systems. The NEUROiD (NEUROmotor integration and Design) platform allows systematic and structured integration of component models to create a neuromotor system. Supporting integration of existing models from both neural and musculoskeletal domains allows us to build upon the advances in both these domains over the past couple of decades. The exact role of cortical areas in movement control in humans is not clear. We use NEUROiD model (comprising of spinal and musculoskeletal components) to obtain a functionally equivalent model of cortical areas using machine learning techniques. Clinical areas that could benefit from NEUROiD models are briefly discussed.
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