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
