Lectures related to Theinfluenceoftheeegonthebrain

Motor Neuroprosthetics: Brain-Machine Interfaces

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

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

Optimization of Neuroprosthetic Systems

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

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

Neural Interfaces: Fundamentals of Neuroengineering

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

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.

Neural Signals and Signal Processing

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

Miniaturized CMOS Interfaces

Explores miniaturized CMOS interfaces for neural signals processing and neurostimulation.

Neural Interfaces: Decoding Signals for Neuroprostheses

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

In vivo electrophysiology MOOC: Cellular Mechanisms of Brain Function

Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.

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 signals, brain imaging techniques, and brain organization, emphasizing the importance of understanding brain imaging methods and measuring brain signals noninvasively.

Neural Signals and Signal Processing

Explores neural activity, electromagnetic signals, EEG, MEG, signal properties, noise sources, analysis methods, and decoding techniques.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

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Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

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.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

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

Neural Signal Recording: Electrode Types and Applications Log in to Mediaspace to watch this video

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