Chunk #12 — Materials and Methods — Data analysis — Average power spectral density estimation

Source

Low and High Gamma Oscillations in Rat Ventral Striatum have Distinct Relationships to Behavior, Reward, and Spiking Activity on a Learned Spatial Decision Task.

Embedded

yes

Text

Average power spectral densities (PSDs) were constructed for each 40-min recording session by first filtering the raw LFP trace using a 300-Hz low-pass filter (fourth order Butterworth; filter and filtfilt routines, MATLAB R2007b signal processing toolbox) and downsampling to 663.5-Hz sampling frequency. A Welch spectral estimator (Percival and Walden, 1993, Sect. 6.17) was then applied to obtain the PSD (MATLAB Signal Processing Toolbox, spectrum.welch; this effectively implements Eq. 2, below, using a single Hamming window taper and 50% overlapping 200-ms time windows).