Analyzing Neural Time Series Data Theory And Practice Pdf Download _verified_ -

Deep dives into Morlet wavelets , Short-time Fast Fourier Transforms ( STFFT ), and Hilbert transforms .

Neural time series data refers to the recordings of neural activity over time, which can be obtained through various techniques such as electroencephalography (EEG), local field potential (LFP), or spike-timing data. These data are typically characterized by their high dimensionality, non-stationarity, and noise. Analyzing neural time series data requires a deep understanding of the underlying neural mechanisms, as well as the application of advanced statistical and machine learning techniques. Deep dives into Morlet wavelets , Short-time Fast

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