| 1 | CLASS(Model,f0_model,m,Model) |
|---|
| 2 | GROUP(Properties) |
|---|
| 3 | GROUP(Visual) |
|---|
| 4 | PROP(se,0,1024,startenergy,f,,,,startenergy) |
|---|
| 5 | PROP(Vstyle,1,0,vis_style,s,0,0,,vis_style) |
|---|
| 6 | ENDCLASS |
|---|
| 7 | |
|---|
| 8 | CLASS(Part,f0_part,p,Part) |
|---|
| 9 | GROUP(Geometry) |
|---|
| 10 | GROUP(Other properties) |
|---|
| 11 | GROUP(Visual) |
|---|
| 12 | PROP(x,0,1024,position.x,f,,,,p.x) |
|---|
| 13 | PROP(y,0,1024,position.y,f,,,,p.y) |
|---|
| 14 | PROP(z,0,1024,position.z,f,,,,p.z) |
|---|
| 15 | PROP(sh,0,0,shape,d,0,3,0,shape) |
|---|
| 16 | PROP(s,0,0,size,f,0.1,10.0,1.0,size) |
|---|
| 17 | PROP(sx,0,0,scale.x,f,0.001,1000.0,1.0,scale.x) |
|---|
| 18 | PROP(sy,0,0,scale.y,f,0.001,1000.0,1.0,scale.y) |
|---|
| 19 | PROP(sz,0,0,scale.z,f,0.001,1000.0,1.0,scale.z) |
|---|
| 20 | XPROP(h,1,0,hollow,f,0,1,0,hollow) |
|---|
| 21 | XPROP(dn,1,0,density,f,0.2,5.0,1.0,density) |
|---|
| 22 | XPROP(fr,1,0,friction,f,0.0,4.0,0.4,friction) |
|---|
| 23 | XPROP(ing,1,0,ingestion,f,0.0,1.0,0.25,ingest) |
|---|
| 24 | XPROP(as,1,0,assimilation,f,0.0,1.0,0.25,assim) |
|---|
| 25 | PROP(rx,0,0,rot.x,f,,,,rot.x) |
|---|
| 26 | PROP(ry,0,1024,rot.y,f,,,,rot.y) |
|---|
| 27 | PROP(rz,0,1024,rot.z,f,,,,rot.z) |
|---|
| 28 | PROP(i,1,0,`info',s,,,,info) |
|---|
| 29 | PROP(Vstyle,2,0,vis_style,s,0,0,part,vis_style) |
|---|
| 30 | XPROP(vs,2,0,visual thickness,f,0.05,0.7,0.2,vsize) |
|---|
| 31 | XPROP(vr,2,0,red component,f,0.0,1.0,1.0,vcolor.x) |
|---|
| 32 | XPROP(vg,2,1024,green component,f,0.0,1.0,1.0,vcolor.y) |
|---|
| 33 | XPROP(vb,2,1024,blue component,f,0.0,1.0,1.0,vcolor.z) |
|---|
| 34 | ENDCLASS |
|---|
| 35 | |
|---|
| 36 | CLASS(Part_MinMaxDef,f0_part_minmaxdef,p) |
|---|
| 37 | GROUP(Geometry) |
|---|
| 38 | PROP(f,0,0,volume,f,0.83776,20.94395,4.18879,volume,,``Recommended default and min,max range for solid-shape Parts created and modified by genetic operators which are responsible for setting sizex,y,z. Default is the volume of the solid sphere (ball) with default radius=1 (radius is the same as sizex,y,z). Minimum is 5x less, maximum is 5x more.'') |
|---|
| 39 | ENDCLASS |
|---|
| 40 | |
|---|
| 41 | CLASS(Joint,f0_joint,j,Joint) |
|---|
| 42 | GROUP(Connections) |
|---|
| 43 | GROUP(Geometry) |
|---|
| 44 | GROUP(Other properties) |
|---|
| 45 | GROUP(Visual) |
|---|
| 46 | PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno) |
|---|
| 47 | PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno) |
|---|
| 48 | PROP(rx,1,0,rotation.x,f,,,,rot.x) |
|---|
| 49 | PROP(ry,1,1024,rotation.y,f,,,,rot.y) |
|---|
| 50 | PROP(rz,1,1024,rotation.z,f,,,,rot.z) |
|---|
| 51 | PROP(dx,1,0,delta.x,f,-2,2,0,d.x) |
|---|
| 52 | PROP(dy,1,1024,delta.y,f,-2,2,0,d.y) |
|---|
| 53 | PROP(dz,1,1024,delta.z,f,-2,2,0,d.z) |
|---|
| 54 | PROP(sh,1,0,shape,d,0,3,0,shape) |
|---|
| 55 | PROP(hx,1,0,hinge position.x,f,,,0,hinge_pos.x) |
|---|
| 56 | PROP(hy,1,1024,hinge position.y,f,,,0,hinge_pos.y) |
|---|
| 57 | PROP(hz,1,1024,hinge position.z,f,,,0,hinge_pos.z) |
|---|
| 58 | PROP(hrx,1,0,hinge rotation.x,f,,,0,hinge_rot.x) |
|---|
| 59 | PROP(hry,1,1024,hinge rotation.y,f,,,0,hinge_rot.y) |
|---|
| 60 | PROP(hrz,1,1024,hinge rotation.z,f,,,0,hinge_rot.z) |
|---|
| 61 | PROP(hxn,1,0,hinge x negative limit,f,-6.2832,0,-1.5708,hinge_limit_x[0]) |
|---|
| 62 | PROP(hxp,1,1024,hinge x positive limit,f,0,6.2832,1.5708,hinge_limit_x[1]) |
|---|
| 63 | PROP(hyn,1,0,hinge y negative limit,f,-6.2832,0,-1.5708,hinge_limit_y[0]) |
|---|
| 64 | PROP(hyp,1,1024,hinge y positive limit,f,0,6.2832,1.5708,hinge_limit_y[1]) |
|---|
| 65 | XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif) |
|---|
| 66 | XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif) |
|---|
| 67 | PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina) |
|---|
| 68 | PROP(i,2,0,`info',s,,,,info) |
|---|
| 69 | PROP(Vstyle,3,0,vis_style,s,0,0,joint,vis_style) |
|---|
| 70 | XPROP(vr,3,0,red component,f,0.0,1.0,1.0,vcolor.x) |
|---|
| 71 | XPROP(vg,3,1024,green component,f,0.0,1.0,1.0,vcolor.y) |
|---|
| 72 | XPROP(vb,3,1024,blue component,f,0.0,1.0,1.0,vcolor.z) |
|---|
| 73 | ENDCLASS |
|---|
| 74 | |
|---|
| 75 | CLASS(Joint,f0_nodeltajoint,j,Joint,NOXML) |
|---|
| 76 | GROUP(Connections) |
|---|
| 77 | GROUP(Geometry) |
|---|
| 78 | GROUP(Other properties) |
|---|
| 79 | GROUP(Visual) |
|---|
| 80 | PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno) |
|---|
| 81 | PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno) |
|---|
| 82 | PROP(sh,1,0,shape,d,0,3,0,shape) |
|---|
| 83 | PROP(hx,1,0,hinge position.x,f,,,0,hinge_pos.x) |
|---|
| 84 | PROP(hy,1,1024,hinge position.y,f,,,0,hinge_pos.y) |
|---|
| 85 | PROP(hz,1,1024,hinge position.z,f,,,0,hinge_pos.z) |
|---|
| 86 | PROP(hrx,1,0,hinge rotation.x,f,,,0,hinge_rot.x) |
|---|
| 87 | PROP(hry,1,1024,hinge rotation.y,f,,,0,hinge_rot.y) |
|---|
| 88 | PROP(hrz,1,1024,hinge rotation.z,f,,,0,hinge_rot.z) |
|---|
| 89 | PROP(hxn,1,0,hinge x negative limit,f,-6.2832,0,-1.5708,hinge_limit_x[0]) |
|---|
| 90 | PROP(hxp,1,1024,hinge x positive limit,f,0,6.2832,1.5708,hinge_limit_x[1]) |
|---|
| 91 | PROP(hyn,1,0,hinge y negative limit,f,-6.2832,0,-1.5708,hinge_limit_y[0]) |
|---|
| 92 | PROP(hyp,1,1024,hinge y positive limit,f,0,6.2832,1.5708,hinge_limit_y[1]) |
|---|
| 93 | XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif) |
|---|
| 94 | XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif) |
|---|
| 95 | PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina) |
|---|
| 96 | PROP(i,2,0,`info',s,,,,info) |
|---|
| 97 | PROP(Vstyle,3,0,vis_style,s,0,0,joint,vis_style) |
|---|
| 98 | XPROP(vr,3,0,red component,f,0.0,1.0,1.0,vcolor.x) |
|---|
| 99 | XPROP(vg,3,1024,green component,f,0.0,1.0,1.0,vcolor.y) |
|---|
| 100 | XPROP(vb,3,1024,blue component,f,0.0,1.0,1.0,vcolor.z) |
|---|
| 101 | ENDCLASS |
|---|
| 102 | |
|---|
| 103 | CLASS(Neuro,f0_neuro,n,Neuro) |
|---|
| 104 | GROUP(Connections) |
|---|
| 105 | GROUP(Other) |
|---|
| 106 | GROUP(Visual) |
|---|
| 107 | PROP(p,0,0,`part ref#',d,-1,999999,-1,part_refno) |
|---|
| 108 | PROP(j,0,0,`joint ref#',d,-1,999999,-1,joint_refno) |
|---|
| 109 | PROP(d,1,0,details,s,,,N,details,GETSET) |
|---|
| 110 | PROP(i,1,0,`info',s,,,,info) |
|---|
| 111 | PROP(Vstyle,2,0,vis_style,s,0,0,neuro,vis_style) |
|---|
| 112 | PROP(getInputCount,0,1+2,`input count',d,,,,inputCount,GETONLY) |
|---|
| 113 | PROP(getInputNeuroDef,0,0,`get input neuron',p oNeuroDef(d),,,,p_getInputNeuroDef,PROCEDURE) |
|---|
| 114 | PROP(getInputNeuroIndex,0,0,`get input neuron index',p d(d),,,,p_getInputNeuroIndex,PROCEDURE) |
|---|
| 115 | PROP(getInputWeight,0,0,`get input weight',p f(d),,,,p_getInputWeight,PROCEDURE) |
|---|
| 116 | PROP(classObject,0,1+2,`neuron class',oNeuroClass,,,,classObject,GETONLY) |
|---|
| 117 | ENDCLASS |
|---|
| 118 | |
|---|
| 119 | CLASS(NeuroConn,f0_neuroconn,c,Neuron connection) |
|---|
| 120 | GROUP(Connection) |
|---|
| 121 | GROUP(Other) |
|---|
| 122 | PROP(n1,0,1024,`this neuro ref#',d,-1,999999,-1,n1_refno) |
|---|
| 123 | PROP(n2,0,1024,`connected neuro ref#',d,-1,999999,-1,n2_refno) |
|---|
| 124 | PROP(w,0,1024,weight,f,-999999,999999,1.0,weight) |
|---|
| 125 | PROP(i,1,0,`info',s,,,,info) |
|---|
| 126 | ENDCLASS |
|---|
| 127 | |
|---|
| 128 | NEUROCLASS(StdNeuron,N,Neuron,`Standard neuron',-1,1,0) |
|---|
| 129 | VISUALHINTS(DontShowClass) |
|---|
| 130 | NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia) |
|---|
| 131 | NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force) |
|---|
| 132 | NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo) |
|---|
| 133 | NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate) |
|---|
| 134 | ENDNEUROCLASS |
|---|
| 135 | |
|---|
| 136 | NEUROCLASS(StdUNeuron,Nu,`Unipolar neuron [EXPERIMENTAL!]',`Works like standard neuron (N) but the output value is scaled to 0...+1 instead of -1...+1.\nHaving 0 as one of the saturation states should help in \"gate circuits\", where input signal is passed through or blocked depending on the other singal.',-1,1,0) |
|---|
| 137 | NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia) |
|---|
| 138 | NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force) |
|---|
| 139 | NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo) |
|---|
| 140 | NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate) |
|---|
| 141 | ENDNEUROCLASS |
|---|
| 142 | |
|---|
| 143 | NEUROCLASS(Gyro,G,Gyroscope,`Tilt sensor.\nSignal is proportional to sin(angle) = most sensitive in horizontal orientation.\n0=the stick is horizontal\n+1/-1=the stick is vertical',0,1,2) |
|---|
| 144 | SHAPETYPE(BallAndStickShapeType) |
|---|
| 145 | VISUALHINTS(ReceptorClass) |
|---|
| 146 | SYMBOL(`8,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,12,43,24,48,24,48,19,38,19,38,24,43,24,43,54,48,54,48,64,43,69,38,64,38,54,43,54,5,63,69,58,74,48,79,38,79,28,74,23,69,1,43,79,43,74,1,23,69,26,66,1,63,69,60,66,1,55,76,53,73,1,31,75,33,72') |
|---|
| 147 | ENDNEUROCLASS |
|---|
| 148 | |
|---|
| 149 | NEUROCLASS(GyroP,Gp,Part Gyroscope,`Tilt sensor. Signal is directly proportional to the tilt angle.\n0=the part X axis is horizontal\n+1/-1=the axis is vertical',0,1,1) |
|---|
| 150 | VISUALHINTS(ReceptorClass) |
|---|
| 151 | SYMBOL(`8,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,12,43,24,48,24,48,19,38,19,38,24,43,24,43,54,48,54,48,64,43,69,38,64,38,54,43,54,5,63,69,58,74,48,79,38,79,28,74,23,69,1,43,79,43,74,1,23,69,26,66,1,63,69,60,66,1,55,76,53,73,1,31,75,33,72') |
|---|
| 152 | NEUROPROP(ry,1,0,rotation.y,f,-6.282,6.282,0,ry) |
|---|
| 153 | NEUROPROP(rz,1,0,rotation.z,f,-6.282,6.282,0,rz) |
|---|
| 154 | ENDNEUROCLASS |
|---|
| 155 | |
|---|
| 156 | NEUROCLASS(Touch,T,Touch,`Touch and proximity sensor (Tc+Tp combined)\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied (not implemented in ODE mode)',0,1,1) |
|---|
| 157 | VISUALHINTS(ReceptorClass) |
|---|
| 158 | SYMBOL(`2,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,11,75,50,65,50,60,55,55,45,50,55,45,45,40,50,35,50,30,45,25,50,30,55,35,50') |
|---|
| 159 | NEUROPROP(r,1,0,Range,f,0.0,1.0,1.0,range) |
|---|
| 160 | NEUROPROP(ry,1,0,rotation.y,f,-6.282,6.282,0,ry) |
|---|
| 161 | NEUROPROP(rz,1,0,rotation.z,f,-6.282,6.282,0,rz) |
|---|
| 162 | ENDNEUROCLASS |
|---|
| 163 | |
|---|
| 164 | NEUROCLASS(TouchC,Tc,Touch contact,`Touch sensor.\n-1=no contact\n0=the Part is touching the obstacle\n>0=pressing, value depends on the force applied (not implemented in ODE mode)',0,1,1) |
|---|
| 165 | VISUALHINTS(ReceptorClass) |
|---|
| 166 | SYMBOL(`2,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,11,75,50,65,50,60,55,55,45,50,55,45,45,40,50,35,50,30,45,25,50,30,55,35,50') |
|---|
| 167 | ENDNEUROCLASS |
|---|
| 168 | |
|---|
| 169 | NEUROCLASS(TouchP,Tp,Touch proximity,`Proximity sensor detecting obstacles along the X axis.\n-1=distance is \'r\' or more\n0=zero distance',0,1,1) |
|---|
| 170 | VISUALHINTS(ReceptorClass) |
|---|
| 171 | SYMBOL(`2,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,11,75,50,65,50,60,55,55,45,50,55,45,45,40,50,35,50,30,45,25,50,30,55,35,50') |
|---|
| 172 | NEUROPROP(r,1,0,Range,f,0.0,1.0,1.0,range) |
|---|
| 173 | NEUROPROP(ry,1,0,rotation.y,f,-6.282,6.282,0,ry) |
|---|
| 174 | NEUROPROP(rz,1,0,rotation.z,f,-6.282,6.282,0,rz) |
|---|
| 175 | ENDNEUROCLASS |
|---|
| 176 | |
|---|
| 177 | NEUROCLASS(Smell,S,Smell,`Smell sensor. Aggregated \"smell of energy\" experienced from all energy objects (creatures and food pieces).\nClose objects have bigger influence than the distant ones: for each energy source, its partial feeling is proportional to its energy/(distance^2)',0,1,1) |
|---|
| 178 | VISUALHINTS(ReceptorClass) |
|---|
| 179 | SYMBOL(`5,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,3,10,40,15,45,15,55,10,60,5,20,30,25,35,30,45,30,55,25,65,20,70,4,15,35,20,40,22,50,20,60,15,65,5,75,50,50,50,45,45,40,50,45,55,50,50') |
|---|
| 180 | ENDNEUROCLASS |
|---|
| 181 | |
|---|
| 182 | NEUROCLASS(Const,*,Constant,Constant value,0,1,0) |
|---|
| 183 | VISUALHINTS(Invisible) |
|---|
| 184 | 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') |
|---|
| 185 | ENDNEUROCLASS |
|---|
| 186 | |
|---|
| 187 | NEUROCLASS(BendMuscle,|,Bend muscle,,1,0,2) |
|---|
| 188 | SHAPETYPE(BallAndStickShapeType) |
|---|
| 189 | VISUALHINTS(DontShowClass+EffectorClass+V1BendMuscle+AtFirstPart) |
|---|
| 190 | SYMBOL(`6,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,3,65,56,49,29,57,24,72,50,4,68,53,70,53,70,55,68,55,68,53,5,50,21,60,15,70,14,79,15,87,20,81,10,1,86,20,77,21') |
|---|
| 191 | NEUROPROP(p,0,0,power,f,0.01,1.0,0.25,power) |
|---|
| 192 | NEUROPROP(r,0,0,bending range,f,0.0,1.0,1.0,bendrange) |
|---|
| 193 | ENDNEUROCLASS |
|---|
| 194 | |
|---|
| 195 | NEUROCLASS(RotMuscle,@,Rotation muscle,,1,0,2) |
|---|
| 196 | SHAPETYPE(BallAndStickShapeType) |
|---|
| 197 | VISUALHINTS(DontShowClass+EffectorClass+V1RotMuscle+AtFirstPart) |
|---|
| 198 | SYMBOL(`5,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,1,69,10,77,17,10,59,15,57,17,57,22,60,26,69,27,78,26,82,21,82,16,79,12,69,10,80,6,3,65,50,65,20,75,20,75,50') |
|---|
| 199 | NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power) |
|---|
| 200 | ENDNEUROCLASS |
|---|
| 201 | |
|---|
| 202 | NEUROCLASS(SolidMuscle,M,Muscle for solids,,1,0,2) |
|---|
| 203 | SHAPETYPE(SolidsShapeType) |
|---|
| 204 | VISUALHINTS(EffectorClass+AtFirstPart+SolidMuscleFlag) |
|---|
| 205 | SYMBOL(`6,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,3,65,56,49,29,57,24,72,50,4,68,53,70,53,70,55,68,55,68,53,5,50,21,60,15,70,14,79,15,87,20,81,10,1,86,20,77,21') |
|---|
| 206 | NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power) |
|---|
| 207 | NEUROPROP(a,0,0,axis,d,0,1,0,axis) |
|---|
| 208 | ENDNEUROCLASS |
|---|
| 209 | |
|---|
| 210 | NEUROCLASS(Diff,D,Differentiate,Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights,-1,1,0) |
|---|
| 211 | 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') |
|---|
| 212 | ENDNEUROCLASS |
|---|
| 213 | |
|---|
| 214 | NEUROCLASS(FuzzyNeuro,Fuzzy,Fuzzy system [EXPERIMENTAL!],Refer to publications to learn more about this neuron.,-1,1,0) |
|---|
| 215 | 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') |
|---|
| 216 | NEUROPROP(ns,0,0,number of fuzzy sets,d,1,,,fuzzySetsNr) |
|---|
| 217 | NEUROPROP(nr,0,0,number of rules,d,1,,,rulesNr) |
|---|
| 218 | NEUROPROP(fs,0,0,fuzzy sets,s,0,-1,,fuzzySetString) |
|---|
| 219 | NEUROPROP(fr,0,0,fuzzy rules,s,0,-1,,fuzzyRulesString) |
|---|
| 220 | ENDNEUROCLASS |
|---|
| 221 | |
|---|
| 222 | NEUROCLASS(VectorEye,VEye,Vector Eye [EXPERIMENTAL!],Refer to publications to learn more about this neuron.,1,1,1) |
|---|
| 223 | 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') |
|---|
| 224 | NEUROPROP(tx,0,0,target.x,f,,,,target.x) |
|---|
| 225 | NEUROPROP(ty,0,0,target.y,f,,,,target.y) |
|---|
| 226 | NEUROPROP(tz,0,0,target.z,f,,,,target.z) |
|---|
| 227 | NEUROPROP(ts,0,0,target shape,s,0,-1,,targetShape) |
|---|
| 228 | NEUROPROP(p,0,0,perspective,f,0.1,10.0,1.0,perspz) |
|---|
| 229 | NEUROPROP(s,0,0,scale,f,0.1,100.0,1.0,perspscale) |
|---|
| 230 | NEUROPROP(h,0,0,show hidden lines,d,0,1,0,showhidden) |
|---|
| 231 | NEUROPROP(o,0,0,`output lines count (each line needs four channels)',d,0,99,0,outputcount) |
|---|
| 232 | NEUROPROP(d,0,0,debug,d,0,1,0,showdebug) |
|---|
| 233 | ENDNEUROCLASS |
|---|
| 234 | |
|---|
| 235 | NEUROCLASS(VisualMotorNeuron,VMotor,Visual-Motor Cortex [EXPERIMENTAL!],`Must be connected to the VEye and properly set up. Refer to publications to learn more about this neuron.',-1,1,0) |
|---|
| 236 | NEUROPROP(noIF,0,0,number of basic features,d,,,,noIF) |
|---|
| 237 | NEUROPROP(noDim,0,0,number of degrees of freedom,d,,,,noDim) |
|---|
| 238 | NEUROPROP(params,0,0,parameters,s,,,,params) |
|---|
| 239 | ENDNEUROCLASS |
|---|
| 240 | |
|---|
| 241 | NEUROCLASS(Sticky,Sti,Sticky [EXPERIMENTAL!],,1,0,1) |
|---|
| 242 | SHAPETYPE(BallAndStickShapeType) |
|---|
| 243 | VISUALHINTS(EffectorClass) |
|---|
| 244 | ENDNEUROCLASS |
|---|
| 245 | |
|---|
| 246 | NEUROCLASS(LinearMuscle,LMu,Linear muscle [EXPERIMENTAL!],,1,0,2) |
|---|
| 247 | SHAPETYPE(BallAndStickShapeType) |
|---|
| 248 | VISUALHINTS(EffectorClass+LinearMuscleFlag) |
|---|
| 249 | NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power) |
|---|
| 250 | ENDNEUROCLASS |
|---|
| 251 | |
|---|
| 252 | NEUROCLASS(WaterDetect,Water,Water detector,`Output signal:\n0=on or above water surface\n1=under water (deeper than 1)\n0..1=in the transient area just below water surface',0,1,1) |
|---|
| 253 | VISUALHINTS(ReceptorClass) |
|---|
| 254 | ENDNEUROCLASS |
|---|
| 255 | |
|---|
| 256 | NEUROCLASS(Energy,Energy,Energy level,`The current energy level divided by the initial energy level.\nUsually falls from initial 1.0 down to 0.0 and then the creature dies. It can rise above 1.0 if enough food is ingested',0,1,0) |
|---|
| 257 | VISUALHINTS(ReceptorClass) |
|---|
| 258 | ENDNEUROCLASS |
|---|
| 259 | |
|---|
| 260 | NEUROCLASS(Channelize,Ch,Channelize,`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.',-1,1,0) |
|---|
| 261 | 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') |
|---|
| 262 | ENDNEUROCLASS |
|---|
| 263 | |
|---|
| 264 | NEUROCLASS(ChMux,ChMux,Channel multiplexer,`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)',2,1,0) |
|---|
| 265 | 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') |
|---|
| 266 | ENDNEUROCLASS |
|---|
| 267 | |
|---|
| 268 | NEUROCLASS(ChSel,ChSel,Channel selector,`Outputs a single channel (selected by the \"ch\" parameter) from multichannel input',1,1,0) |
|---|
| 269 | 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') |
|---|
| 270 | NEUROPROP(ch,0,0,channel,d,,,,ch) |
|---|
| 271 | ENDNEUROCLASS |
|---|
| 272 | |
|---|
| 273 | NEUROCLASS(Random,Rnd,Random noise,`Generates random noise (subsequent random values in the range of -1..+1)',0,1,0) |
|---|
| 274 | ENDNEUROCLASS |
|---|
| 275 | |
|---|
| 276 | NEUROCLASS(Sinus,Sin,Sinus generator,`Output frequency = f0+input',1,1,0) |
|---|
| 277 | SYMBOL(`3,12,75,50,71,37,62,28,50,25,37,28,28,37,25,50,28,62,37,71,50,75,62,71,71,62,75,50,1,75,50,100,50,5,35,50,40,35,45,35,55,65,60,65,65,50') |
|---|
| 278 | NEUROPROP(f0,0,0,base frequency,f,-1.0,1.0,0.06283185307,f0) |
|---|
| 279 | NEUROPROP(t,0,0,time,f,0,6.283185307,0,t) |
|---|
| 280 | ENDNEUROCLASS |
|---|
