Iyengar Raghu Sesha, Pithapuram Madhav Vinodh, Singh Avinash Kumar, Raghavan Mohan
Spine Labs, Department of Biomedical Engineering, Indian Institute of Technology, Hyderabad, India.
Front Neuroinform. 2019 Aug 7;13:56. doi: 10.3389/fninf.2019.00056. eCollection 2019.
Decades of research on neuromotor circuits and systems has provided valuable information on neuronal control of movement. Computational models of several elements of the neuromotor system have been developed at various scales, from sub-cellular to system. While several small models abound, their structured integration is the key to building larger and more biologically realistic models which can predict the behavior of the system in different scenarios. This effort calls for integration of elements across neuroscience and musculoskeletal biomechanics. There is also a need for development of methods and tools for structured integration that yield larger models demonstrating a set of desired system responses. We take a small step in this direction with the NEUROmotor integration and Design (NEUROiD) platform. NEUROiD helps integrate results from motor systems anatomy, physiology, and biomechanics into an integrated neuromotor system model. Simulation and visualization of the model across multiple scales is supported. Standard electrophysiological operations such as slicing, current injection, recording of membrane potential, and local field potential are part of NEUROiD. The platform allows traceability of model parameters to primary literature. We illustrate the power and utility of NEUROiD by building a simple ankle model and its controlling neural circuitry by curating a set of published components. NEUROiD allows researchers to utilize remote high-performance computers for simulation, while controlling the model using a web browser.
数十年来对神经运动回路和系统的研究为运动的神经元控制提供了有价值的信息。神经运动系统的几个组成部分的计算模型已在从亚细胞到系统的各种尺度上得到开发。虽然存在多个小型模型，但它们的结构化整合是构建更大且更具生物学真实性的模型的关键，这些模型能够预测系统在不同场景下的行为。这项工作需要整合神经科学和肌肉骨骼生物力学的各个要素。还需要开发用于结构化整合的方法和工具，以产生展示一组期望系统响应的更大模型。我们通过神经运动整合与设计（NEUROiD）平台在这个方向上迈出了一小步。NEUROiD有助于将运动系统解剖学、生理学和生物力学的结果整合到一个集成的神经运动系统模型中。支持对该模型进行多尺度的模拟和可视化。标准的电生理操作，如切片、电流注入、膜电位记录和局部场电位记录，都是NEUROiD的一部分。该平台允许将模型参数追溯到原始文献。我们通过整理一组已发表的组件构建一个简单的踝关节模型及其控制神经回路，来说明NEUROiD的强大功能和实用性。NEUROiD允许研究人员利用远程高性能计算机进行模拟，同时使用网页浏览器控制模型。
