Brain Computer Interfaces, Neural Engineering, NeuroRobotics

所在平台: Udemy

课程主页: https://www.udemy.com/course/neurorobotics/

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**课程名称:** 脑机接口、神经工程与神经机器人学 **课程概述:** 本课程深入探讨神经工程领域的工具与应用,重点关注实时机器人应用。神经工程是一个跨学科领域,涉及神经解剖学、电生理学、电路理论、电化学、生物电场理论、生物医学仪器、生物材料、计算神经科学、计算机科学、机器人学、人机交互以及神经肌肉康复等多个学科。 课程的核心理念是将电磁信息传输进出神经系统。在此框架下,课程被划分为三个主要部分: 1. **神经记录(Neurorecording):** 涵盖侵入性和非侵入性记录技术、信号处理、神经特征提取、生物与人工神经网络,以及使用神经记录进行机器人设备的实时控制。 2. **神经刺激(Neurostimulation):** 包括侵入性和非侵入性刺激技术、信号生成、生理反应、安全性分析,以及用于触觉反馈和修复瘫痪肢体的实时刺激。 3. **闭环神经调控(Closed-loop Neuromodulation):** 侧重于学生主导的实践项目,并回顾各类神经技术公司。 **典型应用示例:** * 通过意念控制的仿生手臂,恢复自然的触觉感知。 * 神经接口解码思维,从而复原瘫痪肢体。 **课程特色:** * 提供该领域的关键文献。 * 包含数十个测验,帮助学生评估理解程度并巩固核心概念。 * 提供可选的实践研究项目。

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This course will cover tools and applications in the field of Neural Engineering with an emphasis on real-time robotic applications. Neural Engineering is an interdisciplinary field that overlaps with many other areas including neuroanatomy, electrophysiology, circuit theory, electrochemistry, bioelectric field theory, biomedical instrumentation, biomaterials, computational neuroscience, computer science, robotics, human-computer interaction, and neuromuscular rehabilitation. This course is designed around the central idea that Neural Engineering is the study of transferring electromagnetic information into or out of the nervous system. With this framework, the course is divided into three broad segments: neurorecording, neurostimulation and closed-loop neuromodulation. The neurorecording segment includes: invasive and non-invasive recording techniques, signal processing, neural feature extraction, biological and artificial neural networks, and real-time control of robotic devices using neurorecordings. The neurostimulation segment includes: invasive and non-invasive stimulation techniques, signal generation, physiological responses, safety analysis, and real-time stimulation for haptic feedback and for reanimating paralyzed limbs. The closed-loop neuromodulation segment features hands-on student-led projects and a review of various neurotech companies. Example applications include bionic arms controlled by thought that restore a natural sense of touch, or neural-links that can decode a person's thoughts to reanimate a paralyzed limb.The course provides students with fundamental articles from the field and dozens of quizzes for students to assess their understanding and reinforce key concepts. Optional hands-on research projects are also available.

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