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Neurobiological Signal Processing
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Related lectures (32)
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Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
Stochastic Models for Communications
Covers mathematical tools for communication systems and data science, including information theory and signal processing.
Modeling Neurobiological Signals: Spikes & Firing Rate
Explores modeling neurobiological signals, focusing on spikes, firing rate, multiple state neurons, and parameter estimation.
Neural Signals and Signal Processing
Explores neuronal signals, brain organization, measurement techniques, and MRI principles.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Stochastic Models for Communications: Introduction
Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.
Functional Brain Imaging: Signal Processing
Covers neuroimaging techniques, brain structure, MRI basics, and big data in brain research.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Neural Signals and Signal Processing
Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
