Advanced Neurophysiological Techniques
( 25 Modules )

Module #1
Introduction to Advanced Neurophysiological Techniques
Overview of the course, importance of neurophysiological techniques, and historical context

Module #2
Electrophysiology Fundamentals
Principles of electrophysiology, signal processing, and analysis

Module #3
EEG Signal Processing and Analysis
Time-frequency analysis, filtering, and feature extraction techniques for EEG signals

Module #4
Local Field Potentials (LFPs) and Neural Oscillations
Recording and analysis of LFPs, neural oscillations, and their functional significance

Module #5
Intracranial EEG (iEEG) and Stereo-EEG
Principles, advantages, and limitations of iEEG and Stereo-EEG recordings

Module #6
Magnetoencephalography (MEG) and Magnetic Resonance Imaging (MRI)
Principles, advantages, and limitations of MEG and MRI in neuroimaging

Module #7
Functional Connectivity and Network Analysis
Measuring and analyzing functional connectivity using EEG, MEG, and fMRI

Module #8
Neural Decoding and Brain-Computer Interfaces (BCIs)
Decoding neural activity, BCI design, and applications in neuroprosthetics

Module #9
Optical Imaging and Optogenetics
Principles and applications of optical imaging and optogenetics in neuroscience

Module #10
Neurotransmitter and Neurochemical Analysis
Measuring neurotransmitters and neurochemicals using microdialysis, voltammetry, and other techniques

Module #11
Single-Unit Recordings and Spike Sorting
Recording and analysis of single-unit activity, spike sorting algorithms, and validation techniques

Module #12
Population Coding and Neural Representation
Understanding neural representation and population coding in the brain

Module #13
Neural Plasticity and Reorganization
Measuring and analyzing neural plasticity and reorganization in response to injury or experience

Module #14
Advanced Signal Processing Techniques
Machine learning, deep learning, and other advanced signal processing techniques for neurophysiological data

Module #15
Neurostimulation Techniques
Principles and applications of TMS, tDCS, and other neurostimulation techniques

Module #16
Neurophysiology of Neurological and Psychiatric Disorders
Neurophysiological aberrations in neurological and psychiatric disorders, such as epilepsy, Parkinsons disease, and depression

Module #17
Neurophysiology of Cognitive Processes
Neurophysiological mechanisms underlying attention, perception, memory, and decision-making

Module #18
Neurophysiology of Motor Control and Movement Disorders
Neurophysiological mechanisms underlying motor control and movement disorders, such as Parkinsons disease and dystonia

Module #19
Neurophysiology of Sensory Processing
Neurophysiological mechanisms underlying sensory processing, including visual, auditory, and somatosensory processing

Module #20
Neurophysiology of Sleep and Wakefulness
Neurophysiological mechanisms underlying sleep and wakefulness, including REM and non-REM sleep

Module #21
Advanced Data Analysis and Visualization
Advanced data analysis and visualization techniques for neurophysiological data, including clustering, dimensionality reduction, and visualization

Module #22
Computational Modeling of Neuronal Systems
Computational modeling of neuronal systems, including neural networks, and dynamical systems

Module #23
Neurophysiology of Development and Plasticity
Neurophysiological mechanisms underlying neural development and plasticity, including synaptic pruning and NMDA receptor function

Module #24
Ethical Considerations in Neurophysiological Research
Ethical considerations in neurophysiological research, including informed consent, data privacy, and research ethics committees

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Neurophysiological Techniques career

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Advanced Neurophysiological Techniques ( 25 Modules )

Advanced Neurophysiological Techniques
( 25 Modules )