EEG Measurement: Sensors and Wave Analysis

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Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.

Explores neural activity, electromagnetic signals, EEG, MEG, signal properties, noise sources, analysis methods, and decoding techniques.

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

Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.

Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.

Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.

Explores the popularity of linear classifiers in fMRI analysis and the analysis of electromagnetic field signals.

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.

Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.