A scalogram is a time-frequency representation of a signal that provides insight into the frequency content of that signal at various points in time. It is particularly useful in analyzing non-stationary signals, like EEG data, where the frequency components change over time. By applying wavelet transforms, scalograms can help identify transient features and rhythms present in the EEG signal, making it an essential tool in neuroscience for understanding brain activity.
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