Dynamically Repairing and Replacing Neural Networks: Using Hybrid Computational and Biological Tools

Sanchez J.C.; Lytton W.W.; Carmena J.M.; Principe J.C.; Fortes J.; Barbour R.L.; Francis J.T.

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Dynamically Repairing and Replacing Neural Networks: Using Hybrid Computational and Biological Tools

机译：动态修复和替换神经网络：使用混合计算和生物工具

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The debilitating effects of injury to the nervous system can have a profound effect on daily life activities of the injured person [1]. In this article, we present a project overview in which we are utilizing computational and biological principles, along with simulation and experimentation, to create a realistic computational model of natural and injured sensorimotor control systems. Through the development of hybrid in silico/biological coadaptive symbiotic systems, the goal is to create new technologies that yield transformative neuroprosthetic rehabilitative solutions and a new test bed for the development of integrative medical devices for the repair and enhancement of biological systems.

机译：神经系统损伤的衰弱作用可对受伤者的日常生活产生深远的影响[1]。在本文中，我们介绍了一个项目概述，其中我们将利用计算和生物学原理以及仿真和实验来创建自然的和受损的感觉运动控制系统的逼真的计算模型。通过开发计算机/生物共适应共生共生系统的混合体，目标是创建能够产生转化性神经修复技术的新技术，并为开发用于修复和增强生物系统的集成医疗设备开发新的试验台。

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《Pulse, IEEE》 |2012年第1期|p.57-59|共3页
作者
Sanchez J.C.; Lytton W.W.; Carmena J.M.; Principe J.C.; Fortes J.; Barbour R.L.; Francis J.T.;
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Departments of Biomedical Engineering, Neuroscience, and the Miami Project to Cure Paralysis, University of Miami, Coral Gables, Florida.;

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Dynamically Repairing and Replacing Neural Networks: Using Hybrid Computational and Biological Tools

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