Lecture

Neural Engineering: Fundamentals and Applications

Related lectures (44)
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Neural Signals and Signal Processing
Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.
Neural Signals and Signal Processing
Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.
Neural Interfaces: Decoding Signals for Neuroprostheses
Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.
Neural Signals and Signal Processing
Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Theinfluenceoftheeegonthebrain
This study aimed to investigate the influence of the brain on the brain behavior.
Neuralink & Visual Prostheses
Explores the advancements in brain-machine interfaces and visual prostheses, addressing challenges and future prospects.
Peripheral sensory feedback
Explores the importance and organization of sensory feedback in the peripheral nervous system, including artificial implementations.
Neural Signals and Signal Processing: Decoding Techniques
Explores decoding techniques for neural signals using invasive interfaces, regenerative electrodes, and intraneural electrodes to improve prosthesis control and reduce neuroma pain.

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