Changed Class Properties definition to make things compatible with Ma…

src/model/Afferent.m

@@ -1,13 +1,13 @@
 classdef Afferent < handle
 
     properties
-        class@char vector
-        parameters@double vector
-        location@double vector
-        depth@double scalar
-        idx@int16 scalar
-        noisy@logical scalar
-        model@char vector
+        class char
+        parameters double
+        location double
+        depth double
+        idx int16
+        noisy logical
+        model char
     end
 
     properties (Dependent = true, SetAccess = private)

src/model/AfferentPopulation.m

@@ -1,7 +1,7 @@
 classdef AfferentPopulation < handle
 
     properties
-        afferents@Afferent vector = Afferent.empty;
+        afferents Afferent = Afferent.empty;
     end
 
     properties (Dependent = true)

src/model/Response.m

@@ -1,8 +1,8 @@
 classdef Response < handle
 
     properties
-        spikes@double vector
-        afferent@Afferent scalar
+        spikes double 
+        afferent Afferent 
         propagated_struct
     end
 

src/model/ResponseCollection.m

@@ -1,8 +1,8 @@
 classdef ResponseCollection < handle
 
     properties
-        affpop@AfferentPopulation scalar
-        responses@Response vector
+        affpop AfferentPopulation 
+        responses Response 
         stimulus
     end
 

src/model/Stimulus.m

@@ -3,10 +3,10 @@
 classdef Stimulus < handle
 
     properties(SetAccess = private)
-        trace@double = 1+.5*sin(linspace(0,10,5000)*2*pi*10)';  % indentation matrix (nsamples,npins)
-        location@double = [0 0];                            % 2D coordinates of each pins (npins,2)
-        sampling_frequency@double scalar = 5000;            % sampling frequency of the stimulus
-        pin_radius@double scalar =0.05;                     % pin radius
+        trace double = 1+.5*sin(linspace(0,10,5000)*2*pi*10)';  % indentation matrix (nsamples,npins)
+        location double = [0 0];                            % 2D coordinates of each pins (npins,2)
+        sampling_frequency double = 5000;            % sampling frequency of the stimulus
+        pin_radius double  =0.05;                     % pin radius
         profile                                             % equivalent load profile
         profiledyn                                          % dynamic load profile
         indentprofile