Fundamentals of Neural Recording, Neural Stimulation, & Brain-Computer Interfaces for Medical & Robotic Applications
Sub Category
- Data Science
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Objectives
- Learning objectives are listed categorically as software/hardware expertise, quantitative skills, critical thinking, biology knowledge, and scientific literacy
- Software: filter noisy biological signals
- Software: extract features from neuromuscular waveforms
- Software: decode information from neural and electromyographic recordings
- Software: implement an artificial neural network in MATLAB for real-time control
- Software: control a robotic hand in real-time using biological recordings
- Software: implement real-time bioinspired haptic feedback
- Software: develop real-time functional electrical stimulation for assistive and rehabilitative tech
- Hardware: describe how to implement various electrophysiology techniques (e.g., space clamp, voltage clamp) and what they are used for
- Hardware: describe the principles of safe and effective neurostimulation
- Hardware: sketch various stimulation waveforms
- Hardware: describe chemical reactions for electrically exciting neurons
- Hardware: explain the pros and cons of various materials as neurostimulation electrodes
- Hardware: record electromyographic signals from the surface of the body
- Quantitative: model neurons as electrical circuits
- Quantitative: quantify ion and voltage changes during action potentials
- Quantitative: quantify spatiotemporal changes in electrical activity throughout neurons
- Quantitative: perform a safety analysis of neurostimulation
- Quantitative: measure how changes in neuron morphology (e.g., length, diameter) impact spatiotemporal changes in electrical activity
- Quantitative: measure how changes in neuron electrical properties (e.g., capacitance, resistance) impact spatiotemporal changes in electrical activity
- Critical Thinking: explain the characteristics of good training data for neural engineering applications
- Critical Thinking: describe how artificial neural networks relate to biological neural networks
- Critical Thinking: explain how artificial neural networks work in the context of neural engineering
- Critical Thinking: evaluate the performance of a motor-decode algorithm
- Critical Thinking: interpret physiological responses to neurostimulation
- Critical Thinking: debug common neurostimulation errors
- Critical Thinking: debug common electrophysiology errors
- Critical Thinking: develop novel neuromodulation applications
- Critical Thinking: critically evaluate brain-computer interface technology
- Biology: list several applications of neural engineering
- Biology: identify potential diseases suitable for next-generation neuromodulation applications
- Biology: draw and explain how biological neural networks transmit information and perform complex tasks
- Biology: describe the molecular basis of action potentials
- Biology: summarize the pathway from motor intent to physical movement
- Biology: explain the neural code for motor actions
- Biology: sketch various neuromuscular waveforms
- Biology: describe how biological neural networks encode sensory information
- Biology: use basic biological principles to guide the development of artificial intelligence
- Scientific Literacy: summarize the state of the neural engineering field
- Scientific Literacy: identify future research challenges in the field of neural engineering
- Scientific Literacy: cite relevant neural engineering manuscripts
- Scientific Literacy: write 4-page conference proceedings in IEEE format
- Scientific Literacy: use a reference manager
- Scientific Literacy: performance basic statistical analyses
Pre Requisites
- There are no requirements for this course.
- This course contains OPTIONAL labs that benefit from a background in programming. However, since these labs are optional, programming experience is not required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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