Lectures related to Neural Interfaces: Course Overview

Introduction to Fundamentals of Neuroengineering

Covers neural prosthetics, brain-machine interfaces, and decoding motor signals for restoring sensory functions.

Explores miniaturized CMOS interfaces for neural signals processing and neurostimulation.

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

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

Motor Neuroprosthetics: Brain-Machine Interfaces

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

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

Optimization of Neuroprosthetic Systems

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

Neural Interfaces: Decoding Signals for Neuroprostheses

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

AdEx model: Firing patterns and phase plane analysis MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

Generalized Integrate-and-Fire Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Spinal Cord Injuries: Neural Recording Systems

Explores the consequences of spinal cord injuries and the development of wireless neural recording systems.

Bioelectronics Emerging: Neuroprostheses & Biosensors

Explores bioelectronics, focusing on neuroprostheses and biosensors for medical applications.

Peripheral sensory feedback

Explores the importance and organization of sensory feedback in the peripheral nervous system, including artificial implementations.

Sensory Feedback in Neuroprosthetics

Explores the importance of real-time sensory feedback in enhancing the control and functional impact of prosthetic hands through various neuroengineering methods.

Attractor Networks and Spiking Neurons MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores attractor networks, spiking neurons, memory data, and realistic networks in neural dynamics.

Helping Humans: Neuroprosthetics MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.

Neural Interfaces: Fundamentals of Neuroengineering

Explores the fundamentals of neural interfaces, covering design principles, evolution of cortical interfaces, and innovations in electrode technology.

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.

Three definitions of rate code MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.