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Related lectures (41)
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 Interfaces: Decoding Signals for Neuroprostheses
Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.
Neural Signal Compression
Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
Ground Penetrating Radar: Data Analysis
Explores the automated picking of reinforcement bars within Ground Penetrating Radar data using machine learning and signal processing techniques.
Neural Signals and Signal Processing
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Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Neuromorphic Electronic Skins: Advancements and Challenges
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Explores the advancements and challenges in neuromorphic electronic skins, aiming to enable intuitive use of replacement limbs and autonomous robots.
Convolutional Neural Networks
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Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Neural Architectures for Embodied AI and Cognition
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Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.
Estimation and Linear Prediction - Part 2
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Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Neuroprosthetics: Enhancing Sensory Feedback in Limb Control
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Covers neuroprosthetics, focusing on enhancing sensory feedback for improved limb control.
Radar Technologies: Applications and Challenges in Robotics
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Discusses radar technologies, their applications in robotics, and challenges in mmWave imaging.
Discrete Fourier Transform: Unlimited Duration Signals
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Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Image Processing II: DFT, DCT, and Wavelet Transforms
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Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.
Laplace Transform: Solving Differential Equations
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Discusses the application of the Laplace transform to solve differential equations and explores its properties and examples.
Adaptive Filtering: LMS Algorithm
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Covers adaptive filtering using the LMS algorithm for immobile recording scenarios, focusing on practical implementation in MATLAB.
Transformations and Inversions: Laplace and Fourier
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Discusses Laplace and Fourier transformations, focusing on their inversion formulas and applications in solving differential equations.
Behavioural Control in Animals and Robots
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Explores controlling behavior in animals and robots, covering historical perspectives, neuron activation, Drosophila model, advanced techniques, and mini-project organization.
Neuroprosthetics: Hallucinations and Self Distortions
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Explores hallucinations, self distortions, cognitive decline, and altered sensorimotor processing in neuroprosthetics.
Signal Sampling and Reconstruction
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Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.
Non-Convex Optimization: Techniques and Applications
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Covers non-convex optimization techniques and their applications in machine learning.
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