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Related lectures (32)
Neural Signals and Signal Processing
Explores neural signal processing, MRI techniques, and imaging validation, emphasizing structural and functional connectivity and clinical applications.
Neuromorphic Electronic Skins: Advancements and Challenges
Explores the advancements and challenges in neuromorphic electronic skins, aiming to enable intuitive use of replacement limbs and autonomous robots.
Functional Brain Imaging: Signal Processing
Covers neuroimaging techniques, brain structure, MRI basics, and big data in brain research.
Convolutional Neural Networks
Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Neural Signals and Signal Processing: Electrophysiology to Brain Imaging
Explores the popularity of linear classifiers in fMRI analysis and the analysis of electromagnetic field signals.
Neural Architectures for Embodied AI and Cognition
Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.
Estimation and Linear Prediction - Part 2
Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Neural Interfaces: Decoding Signals for Neuroprostheses
Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.
Neuroprosthetics: Enhancing Sensory Feedback in Limb Control
Covers neuroprosthetics, focusing on enhancing sensory feedback for improved limb control.
Neural Signal Compression
Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Ground Penetrating Radar: Data Analysis
Explores the automated picking of reinforcement bars within Ground Penetrating Radar data using machine learning and signal processing techniques.
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