meanWaveform-methods: Calculate the mean waveform of neurons in a recording...

In kevin-allen/relectro: Analysis of electrophysiological data

Description

Calculate the mean waveform of neurons in a recording session.

Usage

meanWaveform(sw, rs, st, cg, df, windowSizeMs = 3, divisorToMicroVolt = 7,
  numberSpikes = 500, minInterSpikeIntervalMs = 2, minPassHz = 500,
  maxPassHz = 10000, filter = FALSE)

## S4 method for signature 'SpikeWaveform'
meanWaveform(sw, rs, st, cg, df, windowSizeMs = 3,
  divisorToMicroVolt = 7, numberSpikes = 500, minInterSpikeIntervalMs = 2,
  minPassHz = 500, maxPassHz = 10000, filter = FALSE)

Arguments

sw	SpikeWaveform object
rs	RecSession object
st	SpikeTrain object
cg	CellGroup object
df	DatFiles object
windowSizeMs	The window size for the mean waveform
divisorToMicroVolt	Factor by which to divide the raw data to obtain values in micro volts.
numberSpikes	Number of spikes to use to calculate the mean
minInterSpikeIntervalMs	Minimum inter spike intervals between the spikes used to calculate the mean
minPassHz	Minimal frequency of the bandpass filter, only used if filter==TRUE
maxPassHz	Maximal frequency of the bandpass filter, only used if filter==TRUE
filter	Logical indicating whether to apply a bandpass filter to raw traces per neuron so that all neurons have the same number of channels.

Value

SpikeWaveform object with the mean waveform in wf matrix

kevin-allen/relectro documentation built on May 20, 2019, 9:06 a.m.