Changeset 69 for cpp/gdk/model.def
- Timestamp:
- 02/03/11 03:09:19 (13 years ago)
- File:
-
- 1 edited
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cpp/gdk/model.def
r66 r69 59 59 prop:id=getInputNeuroIndex,name="get input neuron index",group="Connections",flags=1+2,type="p d(d) " 60 60 prop:id=getInputWeight,name="get input weight",group="Connections",flags=1+2,type="p f(d) " 61 prop:id=classObject,name="neuron class",group="Connections",flags=1+2,type="o NeuroClass " 61 62 62 63 … … 101 102 102 103 103 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"104 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" 104 105 105 106 … … 119 120 120 121 121 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=0 122 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" 122 123 123 124 124 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" 125 126 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" 125 127 126 128 prop:id=ns,name="number of fuzzy sets",type="d 1 " … … 130 132 131 133 132 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=32 134 neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1 ,vhints=16 152 135 153 136 154 137 155 neuro: id=LMu,name="L engthmuscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2 ,vhints=16138 neuro: id=LMu,name="Linear muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2 ,vhints=16 156 139 157 140 prop:id=p,name="power",type="f 0.01 1.0 1.0" … … 166 149 167 150 168 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=0 151 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" 169 152 170 153 171 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=0 154 155 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" 172 156 173 157 174 neuro: id=ChSel,name="Channel selector",info="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input",inputs=1,output=1,location=0 158 159 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" 160 175 161 prop:id=ch,name="channel",type="d " 176 162
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