FieldTrip

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

  DIPOLE_FIT performs an equivalent current dipole fit with a single
  or a small number of dipoles to explain an EEG or MEG scalp topography.
 
  Use as
    [dipout] = dipole_fit(dip, sens, vol, dat, ...)
 
  Additional input arguments should be specified as key-value pairs and can include
    'constr'      = Structure with constraints
    'display'     = Level of display [ off | iter | notify | final ]
    'optimfun'    = Function to use [fminsearch | fminunc ]
    'maxiter'     = Maximum number of function evaluations allowed [ positive integer ]
    'metric'      = Error measure to be minimised [ rv | var | abs ]
    'checkinside' = Boolean flag to check whether dipole is inside source compartment [ 0 | 1 ]
    'weight'      = weight matrix for maximum likelihood estimation, e.g. inverse noise covariance
 
  The following optional input arguments relate to the computation of the leadfields
    'reducerank'      = 'no' or number
    'normalize'       = 'no', 'yes' or 'column'
    'normalizeparam'  = parameter for depth normalization (default = 0.5)
 
  The maximum likelihood estimation implements
    Lutkenhoner B. "Dipole source localization by means of maximum
    likelihood estimation I. Theory and simulations" Electroencephalogr Clin
    Neurophysiol. 1998 Apr;106(4):314-21.