Neural Signals and Signal Processing

Related lectures (32)

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Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.