Title:

Novel Methods for the Visualization and Analysis of Functional Maps in Cortex

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ISBN: 1405474769   ISBN: 1405474769   ISBN: 1405474769   ISBN: 1405474769 
 
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Program Functions 151 built-in MATLAB function that performs convolution. The returned image has the same size as the original image, i.e., only the central part of the convolution is returned.   vFindPhaseShift.m This function is called after the creation of the atlases and when the user presses the button for automatic  phase  offset  estimation  for  the  ring-stimulus  phase  image.  It  estimates  the  phase offset between the measured phase image and the corresponding atlas phase image by adding certain test phase offsets from a given set of phase values to the measured phase image. For each test phase offset, the function vImageDiff is called to calculate the difference between the two images. The difference calculation is done in complex space to avoid the wrapping problem (for example, the difference between the phase values 2   and 0 is 0 and not 2  ) due to the 2   periodicity. Then, the matrix of real phase differences is calculated from the matrix of complex values. All elements are squared individually and summed together. The resulting difference value (error, energy) is returned to vFindPhaseShift. This calculation is done for all phase offsets in the given set. The smallest difference value and the corresponding offset are determined. That offset, i.e., the offset that yields to the minimal difference between the two phase images (according to the definition of the difference) is returned and can be added to the measured phase image. vGradient.m The  derivatives  of  the  phase  are  calculated  according  to  equation  16  in  [Fleet  and  Jepson, 1990 #55] by separating the complex image into real and imaginary parts. The derivatives of the real and imaginary parts are then calculated separately to avoid the wrapping problem. Fi- nally, the derivatives in horizontal and vertical directions of the phase are calculated based on the derivatives of the components. An edge handler for upConv (MATLAB function in the Stanford toolbox) can be specified. The input image is a matrix of complex values (z), where these values can be of the form j  ph z co  e× = × . Equation 28: Complex value
  
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