Description Usage Arguments Value Author(s) References Examples
For one spike train, find the bursts using the Poisson surprise method.
1 | si_find_bursts(spikes,s_min,burst_isi_max)
|
spikes |
A spike train of one channel, located in MEA data structure (example S$spikes[[1]]). |
s_min |
A minimum value for the surprise index |
burst_isi_max |
ISI threshold used by the the surprise index algorithm |
Returns a matrix of burst information for a specific channel. Matrix columns are:
beg |
the number of spike that is first in the burst |
end |
number of the last spike in the burst |
ibi |
time interval from previous burst |
durn |
durarion of burst in seconds |
mean_isis |
average inter spike interval within the burst |
si |
surprise index |
Stephen Eglen
Eytan and Marom (2006) J Neuroscience.
1 2 | data("S")
allb <- lapply(S$spikes, si_find_bursts, S$parameters$s_min )
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