improved naming | allow unqie hrf to be other than only 2D or 4D

Author: MSenden

Computational Neuroimaging Toolbox.mltbx

@@ -5,15 +5,15 @@
     <param.email>mario.senden@maastrichtuniversity.nl</param.email>
     <param.company>Maastricht University</param.company>
     <param.summary />
-    <param.description>Toolbox for estimating input-referred models containing tools for Fourier analyses of phase-encoded stimuli, population receptive field mapping, estimating parameters of generic (user-defined) input-referred models as well as performing ridge regression.</param.description>
+    <param.description>A toolbox for estimating input-referred models. Specifically, the toolbox contains tools for Fourier analyses of phase-encoded stimuli, population receptive field mapping, estimating parameters of generic (user-defined) input-referred models as well as performing ridge regression.</param.description>
     <param.screenshot>${PROJECT_ROOT}/icon.png</param.screenshot>
     <param.version>1.1</param.version>
     <param.output>${PROJECT_ROOT}/Computational Neuroimaging Toolbox.mltbx</param.output>
     <param.products.name />
     <param.products.id />
     <param.products.version />
     <param.platforms />
-    <param.guid>45386ee3-9879-4212-9d25-81d0d56faf46</param.guid>
+    <param.guid>c28f0cda-6da2-4405-8c3c-ec0245c6f968</param.guid>
     <param.exclude.filters />
     <param.exclude.pcodedmfiles>true</param.exclude.pcodedmfiles>
     <param.examples />
@@ -65,6 +65,8 @@
       <param.required.addons />
       <param.matlab.project.id />
       <param.matlab.project.name />
+      <param.release.start />
+      <param.release.end />
       <param.release.current.only />
       <param.compatiblity.windows />
       <param.compatiblity.macos />

Computational Neuroimaging Toolbox.prj

@@ -119,7 +119,7 @@
             self.h_stimulus = p.Results.params.h_stimulus;
             if ~isempty(p.Results.hrf)
                 self.l_hrf = size(p.Results.hrf,1);
-                if ndims(p.Results.hrf)==4
+                if ndims(p.Results.hrf)>2
                     self.hrf = reshape(p.Results.hrf,...
                         self.l_hrf,self.n_total);
                 else
@@ -238,7 +238,7 @@ function create_timecourses(self,varargin)
             % location (x,y) and size parameters.
             %
             % optional inputs are
-            %  - max_R       : radius of the field of fiew     (default =  10.0)
+            %  - max_radius  : radius of the field of fiew     (default =  10.0)
             %  - number_XY   : steps in x and y direction      (default =  30.0)
             %  - min_slope   : lower bound of RF size slope    (default =   0.1)
             %  - max_slope   : upper bound of RF size slope    (default =   1.2)
@@ -250,14 +250,14 @@ function create_timecourses(self,varargin)
 
             p = inputParser;
             addOptional(p,'number_XY',30);
-            addOptional(p,'max_R',10);
+            addOptional(p,'max_radius',10);
             addOptional(p,'number_slope',10);
             addOptional(p,'min_slope',0.1);
             addOptional(p,'max_slope',1.2);
             p.parse(varargin{:});
 
             n_xy = p.Results.number_XY;
-            max_r = p.Results.max_R;
+            max_r = p.Results.max_radius;
             n_slope = p.Results.number_slope;
             min_slope = p.Results.min_slope;
             max_slope = p.Results.max_slope;
@@ -303,10 +303,10 @@ function create_timecourses(self,varargin)
         function results = mapping(self,data,varargin)
             % identifies the best fitting timecourse for each voxel and
             % returns a structure with the following fields
-            %  - R
-            %  - X
-            %  - Y
-            %  - Sigma
+            %  - corr_fit
+            %  - mu_x
+            %  - mu_y
+            %  - sigma
             %  - Eccentricity
             %  - Polar_Angle
             %