Calculate average and standard deviation of the bursting features.
The function calculates a summary of all the bursting features and returns a data.frame with those values.
calc_burst_summary(s, bursty_threshold = 1)
s |
MEA data structure |
bursty_threshold |
min number of bursts/minute to count as a bursty unit. |
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) |
# Load exapmple of recording Robject (MEA data structure)
data("S")
S$bs<-calc_burst_summary(S)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.