This repository is part of an introductory course on signal analysis for undegraduate and graduate students
- Lesson 01
- Course outline
- Electrophysiology basics
- Signal analysis applications in neuroscience
- Introduction to Matlab
- Lesson 02
- Complex plane representations
- Fourier transform
- Power spectrum
- Lesson 03
- Time-frequency resolution (uncertainty principle)
- Discrete time-frequency decomposition
- Welch's periodogram
- List of exercises 01
- Lesson 04
- Time-frequency decomposition
- Normalizations
- Baseline normalization
- List of exercises 02
- Lesson 05
- Phase coherence
- Coherence spectrum
- Coherograms
- Lesson 06
- Signal sampling
- Aliasing
- Nyquist frequency
- List of exercises 03 (first course assessment)
- Lesson 07
- Convolutions
- Edge effects
- Introduction to filters
- Lesson 08
- Filters
- Low-pass and high-pass filters
- Band-pass filters
- Notch filters
- Lesson 09
- Hilbert transform
- Amplitude envelopes
- Amplitude spectrum
- List of exercises 04
- Lesson 10
- Introduction to wavelets
- Morlet wavelets
- Continuous TFD via wavelets
- Lesson 11
- Intantaneous phase and frequency
- Phase-locking metrics
- Phase-locking value (PLV)
- List of exercises 05 (second course assessment)
- Lesson 12
- PLV spectrum
- Von Mises distributions
- Modulation Index (MI)
- Inter-trial coherence (ITC)
- Lesson 13
- Auto-correlogram (ACG)
- Cross-correlogram (CCG)
- CCG normalization
- Relationship between CCG and Power
- Lesson 14
- n:m Phase-Phase coupling
- Phase-Amplitude coupling (PAC)
- Amplitude-Amplitude coupling
- Comodulograms