Lectures related to Implantable Microsystems: Bioelectronics & Biomedical Applications

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

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

Neural Signals and Signal Processing

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

Neuralink & Visual Prostheses

Explores the advancements in brain-machine interfaces and visual prostheses, addressing challenges and future prospects.

Neural Interfaces: Decoding Signals for Neuroprostheses

Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.

Neural Engineering: Fundamentals and Applications

Covers neural engineering fundamentals, brain-computer interfaces, neuroprosthetics, and deep brain stimulation for enhancing human function.

Neural Signals and Signal Processing

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

Neuroprosthetics: Enhancing Sensory Feedback in Limb Control

Covers neuroprosthetics, focusing on enhancing sensory feedback for improved limb control.

Neural Signals and Signal Processing: Decoding Techniques

Explores decoding techniques for neural signals using invasive interfaces, regenerative electrodes, and intraneural electrodes to improve prosthesis control and reduce neuroma pain.

Neural Electrodes

Discusses the design and challenges of neural electrodes, focusing on reliability and interface mechanisms.

Motor Neuroprosthetics: Brain-Machine Interfaces

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

Neural Signals and Signal Processing: Modeling and Simulation

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

Neural Signals and Signal Processing

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

Neural Signals and Signal Processing

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

Neural Signals and Signal Processing

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

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Neural Recording Techniques and Systems

Explores neural recording techniques, systems, amplifiers, and system design considerations.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Neural Signals and Signal Processing: Hemodynamic Imaging

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

Neural Recording Techniques and Systems

Explores neural recording techniques, systems, amplifiers, and high-value resistor integration for low-power optimization.