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reference:dipole_fit [2018/08/23 14:43] (current)
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 +=====  DIPOLE_FIT =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help dipole_fit"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​dipole_fit><​font color=green>​DIPOLE_FIT</​font></​a>​ 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, headmodel, 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 constraints on the source model are specified in a structure
 +    constr.symmetry ​  = boolean, dipole positions are symmetrically coupled to each other
 +    constr.fixedori ​  = boolean, keep dipole orientation fixed over whole data window
 +    constr.rigidbody ​ = boolean, keep relative position of multiple dipoles fixed
 +    constr.mirror ​    = vector, used for symmetric dipole models
 +    constr.reduce ​    = vector, used for symmetric dipole models
 +    constr.expand ​    = vector, used for symmetric dipole models
 +    constr.sequential = boolean, fit different dipoles to sequential slices of the data
 + 
 +  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.
 +</​pre></​html>​