Wavelet transforms can be used to compute coherence in the EEG and estimate dynamic interactions. Here is a primer on how to do this. Analogous…
Lab Talk
Time-Frequency Analysis and Wavelets
Wavelets overcome limitations of methods such as the fourier transform by enabling a view of changes across both time and frequency. Here is a primer…
Non Sinusoidal and Non Stationary Properties of Neural Signals
Electrical signals from the brain are not simply a superposition of sinusoids resulting in limitations of fourier analysis. A recently proposed cycle-by-cycle approach can shed…
Brain Waves, Sine Waves and the Fourier Transform
The most popular method of analyzing brain signals is to decompose it into its component sinusoids using the fourier transform. However a non-sinusoidal physiology poses…
Factors that Impact Power Spectral Density Estimation
EEG analysis often involves estimation of the power spectral density or PSD. Various parameters can impact the results and must be chosen carefully. Estimating the...