Changeset 64 for cpp/gdk/f0def.xml
- Timestamp:
- 01/28/11 23:29:40 (14 years ago)
- File:
-
- 1 edited
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cpp/gdk/f0def.xml
r5 r64 57 57 <PROP ID="getInputNeuroIndex" NAME="get input neuron index" GROUP="0" FLAGS="1+2" TYPE="p d(d)" /> 58 58 <PROP ID="getInputWeight" NAME="get input weight" GROUP="0" FLAGS="1+2" TYPE="p f(d)" /> 59 <PROP ID="classObject" NAME="neuron class" GROUP="0" FLAGS="1+2" TYPE="o NeuroClass" /> 59 60 </CLASS> 60 61 … … 91 92 92 93 94 <NEUROPROP ID="r" NAME="Range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" /> 93 95 </NEUROCLASS> 94 96 … … 98 100 </NEUROCLASS> 99 101 100 <NEUROCLASS ID="*" NAME="Constant" DESCRIPTION="Constant value" INPUTS="0" OUTPUT="1" LOCATION="0" VISUALHINTS="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" >102 <NEUROCLASS ID="*" NAME="Constant" DESCRIPTION="Constant value" INPUTS="0" OUTPUT="1" LOCATION="0" VISUALHINTS="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" > 101 103 102 104 … … 116 118 </NEUROCLASS> 117 119 118 <NEUROCLASS ID="D" NAME="Differentiate" DESCRIPTION="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" > 120 <NEUROCLASS ID="D" NAME="Differentiate" DESCRIPTION="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" > 121 119 122 </NEUROCLASS> 120 123 121 <NEUROCLASS ID="Fuzzy" NAME="Fuzzy system [EXPERIMENTAL!]" DESCRIPTION="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" >124 <NEUROCLASS ID="Fuzzy" NAME="Fuzzy system [EXPERIMENTAL!]" DESCRIPTION="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" > 122 125 123 126 <NEUROPROP ID="ns" NAME="number of fuzzy sets" TYPE="d" MIN="1" MAX="" DEF="" /> … … 127 130 </NEUROCLASS> 128 131 129 <NEUROCLASS ID="Sti" NAME="Sticky [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="1" VISUALHINTS="32" > 132 <NEUROCLASS ID="VEye" NAME="Vector Eye [EXPERIMENTAL!]" DESCRIPTION="Refer to publications to learn more about this neuron." 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 <NEUROPROP ID="tx" NAME="target.x" TYPE="f" MIN="" MAX="" DEF="" /> 135 <NEUROPROP ID="ty" NAME="target.y" TYPE="f" MIN="" MAX="" DEF="" /> 136 <NEUROPROP ID="tz" NAME="target.z" TYPE="f" MIN="" MAX="" DEF="" /> 137 <NEUROPROP ID="ts" NAME="target shape" TYPE="s" MIN="0" MAX="-1" DEF="0" /> 138 <NEUROPROP ID="p" NAME="perspective" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" /> 139 <NEUROPROP ID="s" NAME="scale" TYPE="f" MIN="0.1" MAX="100.0" DEF="1.0" /> 140 <NEUROPROP ID="h" NAME="show hidden lines" TYPE="d" MIN="0" MAX="1" DEF="0" /> 141 <NEUROPROP ID="o" NAME="output lines count (each line needs four channels)" TYPE="d" MIN="0" MAX="99" DEF="0" /> 142 <NEUROPROP ID="d" NAME="debug" TYPE="d" MIN="0" MAX="1" DEF="0" /> 143 </NEUROCLASS> 144 145 <NEUROCLASS ID="VMotor" NAME="Visual-Motor Cortex [EXPERIMENTAL!]" DESCRIPTION="Must be connected to the VEye and properly set up. Refer to publications to learn more about this neuron." INPUTS="-1" OUTPUT="1" LOCATION="0" > 146 <NEUROPROP ID="noIF" NAME="number of basic features" TYPE="d" MIN="" MAX="" DEF="" /> 147 <NEUROPROP ID="noDim" NAME="number of degrees of freedom" TYPE="d" MIN="" MAX="" DEF="" /> 148 <NEUROPROP ID="params" NAME="parameters" TYPE="s" MIN="" MAX="" DEF="" /> 149 </NEUROCLASS> 150 151 <NEUROCLASS ID="Sti" NAME="Sticky [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="1" VISUALHINTS="16" > 130 152 131 153 </NEUROCLASS> … … 144 166 </NEUROCLASS> 145 167 146 <NEUROCLASS ID="Ch" NAME="Channelize" DESCRIPTION="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" > 168 <NEUROCLASS ID="Ch" NAME="Channelize" DESCRIPTION="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" > 169 147 170 </NEUROCLASS> 148 171 149 <NEUROCLASS ID="ChMux" NAME="Channel multiplexer" DESCRIPTION="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" > 172 <NEUROCLASS ID="ChMux" NAME="Channel multiplexer" DESCRIPTION="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" > 173 150 174 </NEUROCLASS> 151 175 152 <NEUROCLASS ID="ChSel" NAME="Channel selector" DESCRIPTION="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input" INPUTS="1" OUTPUT="1" LOCATION="0" > 176 <NEUROCLASS ID="ChSel" NAME="Channel selector" DESCRIPTION="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" > 177 153 178 <NEUROPROP ID="ch" NAME="channel" TYPE="d" MIN="" MAX="" DEF="" /> 154 179 </NEUROCLASS> … … 163 188 </NEUROCLASS> 164 189 190 165 191 </F0CLASSES>
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