mi.find.bursts: Find bursts

In IGM.MEA: IGM MEA Analysis

Description

For one spike train, find the bursts using the maximum interval method.

Usage

mi.find.bursts(spikes,mi.par)

Arguments

spikes	A spike train of one channel, located in MEA data structure (example S$spikes[[1]]).
mi.par	A list of burst features: beg.isi Beginning inter spike interval end.isi Ending inter spike interval min.ibi Minimum inter burst interval to combine bursts min.durn Minimum duration to consider as burst min.spikes Minimum spikes to consider as burst

Value

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, allways 1 for mi algorithm

Author(s)

Stephen Eglen

References

Eytan and Marom (2006) J Neuroscience.

Examples

data("S")  
allb <- lapply(S$spikes, mi.find.bursts, S$parameters$mi.par )

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