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reference:ft_connectivity_psi [2018/08/23 14:43] (current)
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 +=====  FT_CONNECTIVITY_PSI =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_connectivity_psi"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_connectivity_psi><​font color=green>​FT_CONNECTIVITY_PSI</​font></​a>​ computes the phase slope index from a data-matrix
 +  containing the cross-spectral density. It implements the method described
 +  in: Nolte et al., Robustly estimating the flow direction of information
 +  in complex physical systems. Physical Review Letters, 2008; 100; 234101.
 + 
 +  Use as
 +    [c, v, n] = ft_connectivity_psi(input,​ ...)
 + 
 +  The input data input should be organized as
 +    Repetitions x Channel x Channel (x Frequency) (x Time)
 +  or
 +    Repetitions x Channelcombination (x Frequency) (x Time)
 + 
 +  The first dimension should be singleton if the input already contains an
 +  average.
 + 
 +  Additional optional input arguments come as key-value pairs:
 +    nbin = scalar,​ half-bandwidth parameter: the number of frequency bins
 + ​ across which to integrate
 +    hasjack = 0 or 1, specifying whether the repetitions represent
 +                leave-one-out samples (allowing for a variance estimate)
 +    feedback = '​none',​ '​text',​ '​textbar'​ type of feedback showing progress of
 +                computation
 +    dimord = string, specifying how the input matrix should be interpreted
 +    powindx ​  =
 +    normalize =
 + 
 +  The output p contains the phase slope index, v is a variance estimate
 +  which only can be computed if the data contains leave-one-out samples,
 +  and n is the number of repetitions in the input data. If the phase slope
 +  index is positive, then the first chan (1st dim) becomes more lagged (or
 +  less leading) with higher frequency, indicating that it is causally
 +  driven by the second channel (2nd dim)
 + 
 +  See also <a href=/​reference/​ft_connectivityanalysis><​font color=green>​FT_CONNECTIVITYANALYSIS</​font></​a>​
 +</​pre></​html>​