The user creates positrack and spike train objects first. Then the user calls the different methods of this class with the spike train and positrack objects as arguments. It can get the vector length of the head direction histograms and do shuffling to know the threshold for significance.
session
A charactor object with the name of the recording session
degPerBin
Degrees per bin in the head direction histograms
smoothOccupancySd
The standard deviation of the gaussian kernel used to smooth the occupancy histogram
smoothRateHistoSd
The standard deviation of the gaussian kernel used to smooth the rate histograms
nBinHisto
Number of bins in the histograms
hdSpikes
Head direction of all valid spikes
histo
An array holding the histograms of all neurons
histoDegree
A numeric holding the degree for each bin of the histogram
occupancy
A numeric holding the occupancy histogram
cellList
A list of cluster id of the neurons
cellPairList
Data frame containing pairs of cells
histoRepetitions
Number of repetition of the 0-360 range in the histogram. Default is 0 repetition
peakRates
Peak firing rate in Hz in each firing rate histogram
vectorLength
Mean vector length of each firing rate histogram
meanDirection
Mean direction in each firing rate histogram
nShufflings
Number of shufflings to get a distribution of vector length that would be obtained by chance
minShiftMs
Minimum time shift of the head direction data used during the shuffling procedure
peakRatesShuffle
Numeric to hold the peak firing rates obtained during the shuffling procedure
vectorLengthShuffle
Numeric to hold the vector length obtained during the shuffling procedure
crossHisto
Array containing crosscorrelation rate histogram
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