View source: R/networkspikes.R
compute.ns | R Documentation |
Compute the network spikes in an MEA recording, by averaging over all the electrodes in the array.
compute.ns(s, ns.T, ns.N, sur = 100, whichcells = NULL, plot = FALSE)
s |
MEA data structure |
ns.T |
Bin width (in seconds) for counting spikes. |
ns.N |
Threshold number of active electrodes required to make network spike. |
sur |
How many bins either side of peak to retain when computing the mean network spike (default 100 bins either side). |
whichcells |
An optional vector of electrode names. |
plot |
Set to TRUE to plot network spikes. |
ns |
A network spike data structure, returned by
|
... |
Other plot arguments to pass to |
To see the mean network spikes after they have computed, just look at the mean object.
If you wish to see the individual network spikes, try show.ns(ns, ...) where the remaining args are passed to the plot function.
A list with the following elements:
counts |
vector giving the number of active electrodes in each bin; this can be very long! |
ns.N |
The value of ns.N used. |
ns.T |
the value of ns.T used. |
mean |
The profile of the mean network spike (this is a time series object) |
measures |
If N network spikes were found, this is a matrix with N rows, one per network spike. |
brief |
A short vector summarizing the network spikes. n: number of spikes; peak.m, peak.sd: mean and sd of the peak height; durn.m, durn.sd: mean and sd of the duration of the network spike. |
Stephen Eglen
Eytan and Marom (2006) J Neuroscience.
sanger.read.spikes
data.file <- system.file("examples", "TC89_DIV15_A.nexTimestamps",
package = "sjemea")
s <- sanger.read.spikes( data.file, beg=400, end=700)
s$ns <- compute.ns(s, ns.T=0.003, ns.N=10,sur=100)
plot(s$ns, ylab='Count', xlab='Time (s)')
plot(s$ns, xlim=c(450, 500),
xlab='Time (s)', ylab='Count')
plot(s$ns$mean, xlab='Time (s)', ylab='Count', main='Mean NS')
summary(s$ns)
s$ns$brief
## show.ns(s$ns) # This shows each network spike! Can take a long time.
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