FieldTrip

Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help ft_spiketriggeredspectrum_tfr”.

  FT_SPIKETRIGGEREDSPECTRUM_TFR computes time-frequency representation of PPC,
  phase and rayleigh test Getting a TFR from spike phases is complicated,
  because spike numbers may strongly vary over time. However, this is solved
  with the PPC statistic (Vinck et al, 2010; Neuroimage), Vinck et al., 2011,
  Journal of Computational Neuroscience, being unbiased by the number of
  spikes.
 
  Use as
    [stat] = ft_spiketriggeredspectrum_ppc_tfr(cfg,stat)
 
  Inputs:
    STS should be a structure as obtained from from the
    FT_SPIKETRIGGEREDSPECTRUM or FT_SPIKE_TRIGGEREDSPECTRUM function
 
  Configurations:
    cfg.channel                     = Nx1 cell-array or numerical array with selection of
                                      channels (default = 'all'). See FT_CHANNELSELECTION for details
    cfg.spikesel                    = 'all' (default) or numerical or logical selection of spikes.
    cfg.foilim                      = [fbeg fend] in Hz.
    cfg.latency                     = [beg end] in sec, or 'maxperiod' (default), 'poststim' or 'prestim'.
                                      This determines the start and end of time-vector.
    cfg.fsample                     = sampling frequency of time-axis:
                                      e.g., cfg.fsample = 1000 will make time-points to be separated
                                      with 1/1000 = 0.001 sec.
    cfg.winlen                      = length of the window in which we compute ppc/phase in seconds.
    cfg.chanavg                     = 'yes' or 'no' (default): average over chans.
    cfg.spikechannel                = string or cell of single channel to
                                      compute stats for
 
  See also FT_SPIKETRIGGEREDSPECTRUM, FT_SPIKE_PHASELOCKSTAT,
  FT_SPIKE_TRIGGEREDSPECTRUM