- Promoted by: Anonymous
- Platform: Udemy
- Category: Data Science
- Language: English
- Instructor: Jacob A. George
- Duration: 5 hour(s) 30 minute(s)
- Student(s): 1,121
- Rate 4.9 Of 5 From 52 Votes
- Expires on: 2025/06/07
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Price:
49.990
Fundamentals of Neural Recording, Neural Stimulation, & Brain-Computer Interfaces for Medical & Robotic Applications
Unlock your potential with a Free coupon code
for the "Brain Computer Interfaces, Neural Engineering, NeuroRobotics" course by Jacob A. George on Udemy.
This course, boasting a 4.9-star rating from 52 reviews
and with 1,121 enrolled students, provides comprehensive training in Data Science.
Spanning approximately
5 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on June 05, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
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.