FindTopFrequencies: Find highest-amplitude frequencies

In dpwynne/mmnst: Multiscale Modeling of Neural Spike Trains

Find highest-amplitude frequencies

Description

Finds the highest-amplitude frequency components in each spike train.

Usage

FindTopFrequencies(
  spikes,
  t.start = 0,
  t.end = 10,
  freqrange = list(c(2, 30)),
  q = 5,
  default.grid.spacing = 1,
  periodogram.window.size = 25,
  default.coef.step = 0.01
)

Arguments

spikes	a list of spike trains.
t.start	the starting time of the recording window. The default value is 0.
t.end	the ending time of the recording window. The default value is 10, corresponding to a 10-second recording.
freqrange	a list of (non-overlapping) frequency ranges. Each item in the list should be a numeric vector of lowest and highest frequencies in the range.
q	the number of highest-amplitude frequency components to find in each train.
default.grid.spacing	the spacing to use in the frequency search. This can be a single number reflecting the same grid spacing over all frequency ranges or a vector of the same length as freqrange.
periodogram.window.size	the number of points on each side of a given frequency to use when smoothing the periodogram.
default.coef.step	the coef.step value to pass to the smoothed periodogram.

Value

A sorted table. The names of the table, in order, are the most common high-amplitude frequencies in the periodograms of the individual spike trains, and the values in the table are the number of spike trains the frequency is of high amplitude in.

dpwynne/mmnst documentation built on Aug. 1, 2023, 8:08 a.m.