calc_burst_summary: Calculate average and standard deviation of the bursting...

In meaRtools: Micro-Electro Array (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)

meaRtools documentation built on May 1, 2019, 7:32 p.m.