calc.burst.summary: Calculate average and standard deviation of the bursting...

In IGM.MEA: IGM MEA Analysis

Description

The function calculates a summary of all the bursting features and returns a data.frame with those values.

Usage

calc.burst.summary(s, bursty.threshold = 1)

Arguments

s	MEA data structure
bursty.threshold	min number of bursts/minute to count as a bursty unit.

Value

A data frame with the following columns:

channels	electrode name
spikes	#spikes
mean.freq	firing rate (Hz)
nbursts	#bursts detected
bursts.per.sec	#bursts/second.matrix(nrow=0,ncol=1)
bursts.per.min	#bursts/min
bursty	is bursts.per.min >bursty.threshold (defaults to 1 burst/min)
mean.dur	mean burst duration
sd.dur	sd
mean.spikes	mean #spikes in a burst
sd.spikes	sd
per.spikes.in.burst	% of spikes in a burst
per.spikes.out.burst	% of spikes not in a burst
mean.si	mean Surprise Index (only for poisson .surprise measure)
mean.isis	mean ISI within a burst
sd.mean.isis	sd
mean.IBIs	mean IBI
sd.IBIs	sd
cv.IBIs	Coefficient of variation of IBI (= mean.IBI/sd.IBI)

Examples

# Load exapmple of recording Robject (MEA data structure)
data("S")  
S$bs<-calc.burst.summary(S)

Example output

Warning message:
no DISPLAY variable so Tk is not available 

IGM.MEA documentation built on May 29, 2017, 11:07 p.m.