Changeset 89 for cpp/gdk/model.def
- Timestamp:
- 06/30/13 17:05:31 (11 years ago)
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
cpp/gdk/model.def
r80 r89 3 3 class:id=m,name="Model" 4 4 prop:id=se,name="starting energy",group="x",flags=1024,type="f -999999 999999 0 " 5 6 class:id=m,name="Model" 7 8 9 prop:id=se,name="startenergy",group="Properties",flags=1024,type="f " 10 prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 " 11 5 12 6 13 class:id=p,name="Part" … … 22 29 prop:id=i,name="info",group="Other properties",flags=0,type="s " 23 30 prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 part" 31 prop:id=vs,xtra=1,name="visual thickness",group="Visual",flags=0,type="f 0.05 0.7 0.2" 32 prop:id=vr,xtra=1,name="red component",group="Visual",flags=0,type="f 0.0 1.0 0.5" 33 prop:id=vg,xtra=1,name="green component",group="Visual",flags=1024,type="f 0.0 1.0 0.5" 34 prop:id=vb,xtra=1,name="blue component",group="Visual",flags=1024,type="f 0.0 1.0 0.5" 24 35 25 36 … … 42 53 prop:id=i,name="info",group="Other properties",flags=0,type="s " 43 54 prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 joint" 55 prop:id=vr,xtra=1,name="red component",group="Visual",flags=0,type="f 0.0 1.0 0.5" 56 prop:id=vg,xtra=1,name="green component",group="Visual",flags=1024,type="f 0.0 1.0 0.5" 57 prop:id=vb,xtra=1,name="blue component",group="Visual",flags=1024,type="f 0.0 1.0 0.5" 44 58 45 59 … … 52 66 prop:id=p,name="part ref#",group="Connections",flags=0,type="d -1 999999 -1" 53 67 prop:id=j,name="joint ref#",group="Connections",flags=0,type="d -1 999999 -1" 54 prop:id=d,name="item details",group="Other",flags=0,type="s "68 prop:id=d,name="item details",group="Other",flags=0,type="s N" 55 69 prop:id=i,name="info",group="Other",flags=0,type="s " 56 70 prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 neuro" … … 59 73 prop:id=getInputNeuroIndex,name="get input neuron index",group="Connections",flags=1+2,type="p d(d) " 60 74 prop:id=getInputWeight,name="get input weight",group="Connections",flags=1+2,type="p f(d) " 75 prop:id=classObject,name="neuron class",group="Connections",flags=1+2,type="o NeuroClass " 61 76 62 77 … … 101 116 102 117 103 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"118 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" 104 119 105 120 … … 119 134 120 135 121 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=0 136 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" 122 137 123 138 124 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" 139 140 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" 125 141 126 142 prop:id=ns,name="number of fuzzy sets",type="d 1 " … … 130 146 131 147 132 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" 133 134 prop:id=tx,name="target.x",type="f " 135 prop:id=ty,name="target.y",type="f " 136 prop:id=tz,name="target.z",type="f " 137 prop:id=ts,name="target shape",type="s 0 -1 0" 138 prop:id=p,name="perspective",type="f 0.1 10.0 1.0" 139 prop:id=s,name="scale",type="f 0.1 100.0 1.0" 140 prop:id=h,name="show hidden lines",type="d 0 1 0" 141 prop:id=o,name="output lines count (each line needs four channels)",type="d 0 99 0" 142 prop:id=d,name="debug",type="d 0 1 0" 143 144 145 neuro: id=VMotor,name="Visual-Motor Cortex [EXPERIMENTAL!]",info="Must be connected to the VEye and properly set up.",inputs=-1,output=1,location=0 146 prop:id=noIF,name="number of basic features",type="d " 147 prop:id=noDim,name="number of degrees of freedom",type="d " 148 prop:id=params,name="parameters",type="s " 149 150 151 neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1 ,vhints=32 148 neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1 ,vhints=16 152 149 153 150 154 151 155 neuro: id=LMu,name="L engthmuscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2 ,vhints=16152 neuro: id=LMu,name="Linear muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2 ,vhints=16 156 153 157 154 prop:id=p,name="power",type="f 0.01 1.0 1.0" … … 166 163 167 164 168 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=0 165 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" 169 166 170 167 171 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=0 168 169 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" 172 170 173 171 174 neuro: id=ChSel,name="Channel selector",info="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input",inputs=1,output=1,location=0 172 173 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" 174 175 175 prop:id=ch,name="channel",type="d " 176 176 … … 185 185 186 186 187 187 188 # EOF
Note: See TracChangeset
for help on using the changeset viewer.