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

Neural Signals and Signal Processing

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

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores Brain-Machine Interfaces for motor control and communication using neural signals.

Neural Signals and Signal Processing

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

Neural Signals and Signal Processing

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

Brain-Computer Interfaces: Advancements in Systems Neuroscience

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

Neural Signal Recording: Electrode Types and Applications

Explores neural signal recording methods using various electrode types for in-vivo and in-vitro studies.

Hybrid Neural Models: Introduction and Applications

Covers hybrid neural models for neuroprosthetics, nerve stimulation optimization, and grasping restoration after spinal cord injury.

Neural Engineering: Fundamentals and Applications

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

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.