Brain Computer Interfaces, Neural Engineering, NeuroRobotics


Fundamentals of Neural Recording, Neural Stimulation, & Mind-Laptop Interfaces for Medical & Robotic Purposes

What you’ll be taught

Studying goals are listed categorically as software program/{hardware} experience, quantitative abilities, important pondering, biology information, and scientific literacy

Software program: filter noisy organic alerts

Software program: extract options from neuromuscular waveforms

Software program: decode data from neural and electromyographic recordings

Software program: implement a man-made neural community in MATLAB for real-time management

Software program: management a robotic hand in real-time utilizing organic recordings

Software program: implement real-time bioinspired haptic suggestions

Software program: develop real-time useful electrical stimulation for assistive and rehabilitative tech

{Hardware}: describe easy methods to implement numerous electrophysiology methods (e.g., area clamp, voltage clamp) and what they’re used for

{Hardware}: describe the rules of secure and efficient neurostimulation

{Hardware}: sketch numerous stimulation waveforms

{Hardware}: describe chemical reactions for electrically thrilling neurons

{Hardware}: clarify the professionals and cons of varied supplies as neurostimulation electrodes

{Hardware}: report electromyographic alerts from the floor of the physique

Quantitative: mannequin neurons as electrical circuits

Quantitative: quantify ion and voltage modifications throughout motion potentials

Quantitative: quantify spatiotemporal modifications in electrical exercise all through neurons

Quantitative: carry out a security evaluation of neurostimulation

Quantitative: measure how modifications in neuron morphology (e.g., size, diameter) impression spatiotemporal modifications in electrical exercise

Quantitative: measure how modifications in neuron electrical properties (e.g., capacitance, resistance) impression spatiotemporal modifications in electrical exercise

Essential Pondering: clarify the traits of fine coaching knowledge for neural engineering functions

Essential Pondering: describe how synthetic neural networks relate to organic neural networks

Essential Pondering: clarify how synthetic neural networks work within the context of neural engineering

Essential Pondering: consider the efficiency of a motor-decode algorithm

Essential Pondering: interpret physiological responses to neurostimulation

Essential Pondering: debug widespread neurostimulation errors

Essential Pondering: debug widespread electrophysiology errors

Essential Pondering: develop novel neuromodulation functions

Essential Pondering: critically consider brain-computer interface know-how

Biology: record a number of functions of neural engineering

Biology: determine potential illnesses appropriate for next-generation neuromodulation functions

Biology: draw and clarify how organic neural networks transmit data and carry out complicated duties

Biology: describe the molecular foundation of motion potentials

Biology: summarize the pathway from motor intent to bodily motion

Biology: clarify the neural code for motor actions

Biology: sketch numerous neuromuscular waveforms

Biology: describe how organic neural networks encode sensory data

Biology: use primary organic rules to information the event of synthetic intelligence

Scientific Literacy: summarize the state of the neural engineering discipline

Scientific Literacy: determine future analysis challenges within the discipline of neural engineering

Scientific Literacy: cite related neural engineering manuscripts

Scientific Literacy: write 4-page convention proceedings in IEEE format

Scientific Literacy: use a reference supervisor

Scientific Literacy: efficiency primary statistical analyses

English
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