jay.read.spikes {sjemea} | R Documentation

## Read in the .txt file from Neuroexplorer and create a "spikes" data structure.

### Description

Read in .txt file and work out array positions...

### Usage

    jay.read.spikes(filename)

### Arguments

`filename` | Name of the text file to be read in.

### Value

Return the data structure 's'.

### METHOD

No fancy tricks used here. If the data file has information about N different spike trains, the file has N (tab-separated) columns. Each column then gives the time (in seconds?) of each spike. Different columns are of different lengths since typically each cell will have a different number of spikes.

The txt file of spike times can be compressed (with gzip).

### References

No references here.

### See Also

`sanger.read.spikes`

### Examples

    data.file <- system.file("examples", "P9_CTRL_MY1_1A.txt",
                             package = "sjemea")
    s <- jay.read.spikes( data.file)
    fourplot(s)
    s <- jay.read.spikes( data.file, beg=400, end=700)
    fourplot(s)
    ## Not run:
    s <- jay.read.spikes("/home/stephen/ms/jay/p9data.txt")
    fourplot(s)                             #summary plot.
    s$mi <- make.mi(s)
    show.prob.t.r(s)                        #conditional distributions.
    ## End(Not run)

    ## Not run: crosscorrplots(s, autocorr=T, tmax=3, nbins=100,
                   xcorr.nrows=3, xcorr.ncols=3) #plot autocorrs on screen

    ## Plotting just one cross-correlogram is a slightly different matter:
    xcorr.plot( s$spikes[[1]], s$spikes[[2]], "1 v 2")## End(Not run)

[Package sjemea version 0.20 Index]