Changeset 80 for cpp/gdk/model.def

Timestamp:

02/08/13 03:22:37 (11 years ago)

Author:

Maciej Komosinski

Message:

• new properties in Parts and Joints: visual red, green, blue, thickness
• updated list of Neurons and their properties

File:

• cpp/gdk/model.def (modified) (5 diffs)

cpp/gdk/model.def

@@ -59 +59 @@
 prop:id=getInputNeuroIndex,name="get input neuron index",group="Connections",flags=1+2,type="p d(d)   "
 prop:id=getInputWeight,name="get input weight",group="Connections",flags=1+2,type="p f(d)   "
-prop:id=classObject,name="neuron class",group="Connections",flags=1+2,type="o NeuroClass   "
 
 
@@ -102 +101 @@
 
 
-neuro: id=*,name="Constant",info="Constant value",inputs=0,output=1,location=0  ,vhints=1  ,symbol="4,4,26,27,26,73,73,73,73,27,26,27,1,73,50,100,50,1,56,68,46,68,2,41,47,51,32,51,68" 
+neuro: id=*,name="Constant",info="Constant value",inputs=0,output=1,location=0  ,vhints=1  ,symbol="3,6,100,50,90,50,90,40,70,40,70,60,90,60,90,50,1,85,50,75,50,1,80,45,80,55" 
 
 
@@ -120 +119 @@
 
 
-neuro: id=D,name="Differentiate",info="Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights",inputs=-1,output=1,location=0  ,symbol="3,3,25,0,25,100,75,50,25,0,1,75,50,100,50,3,44,42,51,57,36,57,44,42" 
+neuro: id=D,name="Differentiate",info="Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights",inputs=-1,output=1,location=0 
 
 
-
-neuro: id=Fuzzy,name="Fuzzy system [EXPERIMENTAL!]",info="Refer to publications to learn more about this neuron.",inputs=-1,output=1,location=0  ,symbol="5,2,30,65,37,37,44,65,3,37,65,44,37,51,37,58,65,2,51,65,58,37,65,65,6,100,50,70,50,70,25,25,10,25,90,70,75,70,50,1,70,65,25,65" 
+neuro: id=Fuzzy,name="Fuzzy system [EXPERIMENTAL!]",info="Refer to publications to learn about this neuron",inputs=-1,output=1,location=0  ,symbol="5,2,30,65,37,37,44,65,3,37,65,44,37,51,37,58,65,2,51,65,58,37,65,65,6,100,50,70,50,70,25,25,10,25,90,70,75,70,50,1,70,65,25,65" 
 
 prop:id=ns,name="number of fuzzy sets",type="d 1  "
@@ -132 +130 @@
 
 
-neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1  ,vhints=16 
+neuro: id=VEye,name="Vector Eye [EXPERIMENTAL!]",info="",inputs=1,output=1,location=1  ,symbol="11,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,14,70,50,65,40,60,35,45,30,30,30,15,35,10,40,5,50,10,60,15,65,30,70,45,70,60,65,65,60,70,50,8,38,67,28,62,23,52,28,42,38,37,48,42,53,52,48,62,38,67,4,33,52,38,47,43,52,38,57,33,52,5,70,50,60,40,45,35,30,35,15,40,5,50,1,53,33,58,22,1,62,36,68,26,1,45,30,47,19,1,35,30,35,19,1,27,31,24,20,1,18,34,12,24" 
+
+prop:id=tx,name="target.x",type="f   "
+prop:id=ty,name="target.y",type="f   "
+prop:id=tz,name="target.z",type="f   "
+prop:id=ts,name="target shape",type="s 0 -1 0"
+prop:id=p,name="perspective",type="f 0.1 10.0 1.0"
+prop:id=s,name="scale",type="f 0.1 100.0 1.0"
+prop:id=h,name="show hidden lines",type="d 0 1 0"
+prop:id=o,name="output lines count (each line needs four channels)",type="d 0 99 0"
+prop:id=d,name="debug",type="d 0 1 0"
+
+
+neuro: id=VMotor,name="Visual-Motor Cortex [EXPERIMENTAL!]",info="Must be connected to the VEye and properly set up.",inputs=-1,output=1,location=0 
+prop:id=noIF,name="number of basic features",type="d   "
+prop:id=noDim,name="number of degrees of freedom",type="d   "
+prop:id=params,name="parameters",type="s   "
+ 
+
+neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1  ,vhints=32 
 
 
 
-neuro: id=LMu,name="Linear muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2  ,vhints=16 
+neuro: id=LMu,name="Length muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2  ,vhints=16 
 
 prop:id=p,name="power",type="f 0.01 1.0 1.0"
@@ -149 +166 @@
 
 
-neuro: id=Ch,name="Channelize",info="Combines all input signals into a single multichannel output; Note: ChSel and ChMux are the only neurons which support multiple channels. Other neurons discard everything except the first channel.",inputs=-1,output=1,location=0  ,symbol="10,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,1,30,80,55,50,1,30,20,55,50,1,30,35,55,50,1,30,45,55,50,1,30,55,55,50,1,61,53,65,47,1,30,65,55,50" 
+neuro: id=Ch,name="Channelize",info="Combines all input signals into a single multichannel output; Note: ChSel and ChMux are the only neurons which support multiple channels. Other neurons discard everything except the first channel.",inputs=-1,output=1,location=0 
 
 
-
-neuro: id=ChMux,name="Channel multiplexer",info="Outputs the selected channel from the second (multichannel) input. The first input is used as the selector value (-1=select first channel, .., 1=last channel)",inputs=2,output=1,location=0  ,symbol="7,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,3,30,67,45,67,45,50,50,50,1,35,70,39,64,2,30,33,53,33,53,48" 
+neuro: id=ChMux,name="Channel multiplexer",info="Outputs the selected channel from the second (multichannel) input. The first input is used as the selector value (-1=select first channel, .., 1=last channel)",inputs=2,output=1,location=0 
 
 
-
-neuro: id=ChSel,name="Channel selector",info="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input",inputs=1,output=1,location=0  ,symbol="6,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,1,30,50,50,50,1,35,53,39,47" 
-
+neuro: id=ChSel,name="Channel selector",info="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input",inputs=1,output=1,location=0 
 prop:id=ch,name="channel",type="d   "