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@anna29
anna29 committed Sep 8, 2014
1 parent a9518ac commit 6285c94
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2 changes: 1 addition & 1 deletion .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

.idea
# C extensions
*.so

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540 changes: 540 additions & 0 deletions ChrisCabot/cabot1.py
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177 changes: 177 additions & 0 deletions ChrisCabot/cabot1_out.dat
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Pop Back

[<SpikeTrain(array([ 203.06718514, 204.2123412 , 205.31957063, 206.40809001,
207.4856394 , 208.55610744, 209.62172635, 210.68389217,
211.74353296, 212.80129439, 213.85763906, 214.91290407,
215.9673452 , 217.02116001, 218.07450337, 219.12749295,
220.18022216, 221.23276694, 222.28518966, 223.33754198,
224.38986711, 225.44219565, 226.49455397, 227.546965 ,
228.59944891, 229.65202265, 230.70469672, 231.75748119,
232.81038576, 233.86341989, 234.91659285, 235.96991354,
237.02338528, 238.07701231, 239.13079967, 240.18475305,
241.23887273, 242.29316046, 243.34761924, 244.40225311,
245.457067 , 246.51206658, 247.56725816, 248.62264276,
249.67822285, 250.73400217, 251.78997919, 252.84615433,
253.90252963, 254.95910847, 256.01589537, 257.07289581,
258.13011611, 259.18705674, 260.24060045, 261.29182109,
262.34102682, 263.38847346, 264.43571571, 265.48303967,
266.53044818, 267.57794495, 268.62553439, 269.67322121,
270.72101038, 271.76890536, 272.81690169, 273.86499678,
274.91318952, 275.96148008, 277.00986964, 278.05836022,
279.10695457, 280.155656 , 281.20446833, 282.25339575,
283.30244282, 284.35161439, 285.40090832, 286.45032079,
287.49984973, 288.54949447, 289.5992555 , 290.64913434,
291.69913329, 292.74925537, 293.79950415, 294.84988374,
295.90039862, 296.95105368, 298.0018541 , 299.05279802]) * ms, [0.0 ms, 300.0 ms])>]

Pop Forward

[<SpikeTrain(array([ 7.7896748 , 8.93484849, 10.04212847, 11.13063423,
12.2081261 , 13.27851411, 14.34403943, 15.40610211,
16.46563206, 17.52327563, 18.57949803, 19.63464332,
20.68897158, 21.7426829 , 22.79593349, 23.84884653,
24.90151485, 25.95401346, 27.00640346, 28.058735 ,
29.11104959, 30.16338185, 31.21576086, 32.26821133,
33.32075275, 34.37339836, 35.42615998, 36.47904833,
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45.96180089, 47.0162694 , 48.07092119, 49.12576159,
50.18079609, 51.2360303 , 52.29147004, 53.34712123,
54.40298998, 55.45908256, 56.51539985, 57.57194376,
58.6287171 , 59.68572343, 60.74296697, 61.79820698,
62.8504048 , 63.90004608, 64.94753276, 65.99472108,
67.0420046 , 68.08938556, 69.13686676, 70.18445142,
71.23213802, 72.279926 , 73.32781565, 74.37580791,
75.4239043 , 76.47210685, 77.52041797, 78.56884044,
79.6173773 , 80.66603185, 81.71480755, 82.76370804,
83.81273709, 84.86189863, 85.91119666, 86.96063065,
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92.20983902, 93.26008057, 94.3104547 , 95.36096273,
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100.61559585, 101.66696379, 102.71848371, 103.77015544,
104.8219797 , 105.87395804, 106.92609263, 107.97838622,
109.03084203, 110.08346368, 111.13625517, 112.18922079,
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117.45682884, 118.51093399, 119.56523191, 120.61972046,
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151.12632449, 152.17479788, 153.22337829, 154.27206684,
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159.51720435, 160.5665903 , 161.6161035 , 162.66574771,
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180.53161964, 181.58392437, 182.63638782, 183.68901051,
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188.95458336, 190.00821188, 191.06202097, 192.11601521,
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201.61103086, 202.66709309, 203.72337068, 204.77986456,
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218.44433666, 219.49207341, 220.53991547, 221.58786596,
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239.42164602, 240.47181628, 241.52212219, 242.57256742,
243.62315588, 244.6738894 , 245.72476752, 246.77579071,
247.82696024, 248.87827801, 249.9297465 , 250.98136867,
252.03314789, 253.0850879 , 254.13719277, 255.18946685,
256.24191475, 257.29454097, 258.34734558, 259.40032577,
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277.32857175, 278.38499539, 279.44164343, 280.49851914,
281.55562648, 282.6129253 , 283.6663667 , 284.71658258,
285.76458721, 286.81172757, 287.85896611, 288.90630395,
289.95374294, 291.00128421, 292.04892581, 293.09666683,
294.14450726, 295.19244779, 296.24048973, 297.28863488,
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Pop Turn Right

[<SpikeTrain(array([], dtype=float64) * ms, [0.0 ms, 300.0 ms])>]

Pop Turn Left

[<SpikeTrain(array([ 5.06718514, 6.2123412 , 7.31957063, 8.40809001,
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161.19918389, 162.25180963, 163.30397758, 164.35568496,
165.40693694, 166.45772295, 167.50835269, 168.55903889,
169.60977621, 170.66056115, 171.71169296, 172.7630644 ,
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178.02037116, 179.07154617, 180.12277158, 181.17405168,
182.22539122, 183.27679545, 184.32827 , 185.37981077,
186.43141524, 187.48308193, 188.53481041, 189.58659517,
190.63843241, 191.69032019, 192.74225801, 193.79424667,
194.84628811, 195.89838543, 196.95054274, 198.00276444,
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299.80510523]) * ms, [0.0 ms, 300.0 ms])>]
197 changes: 197 additions & 0 deletions ChrisCabot/objRecConnections.py
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DELAY = 1.0

INPUT_NEURONS_HEIGHT = 50
INPUT_NEURONS_WIDTH = 50

CA_HEIGHT = 10
CA_WIDTH = 10

#----------------setup connections-----------------
#setup CAs in the pyramid and stalactite net
def connectCA (CANum):
CASize = CA_WIDTH*CA_HEIGHT
CARow = CANum/5
CACol = CANum%5
synWeight = 3.0
numSynapses = 10
connector = []
for cRow in range (0,CA_HEIGHT):
for cCol in range (0,CA_WIDTH):
fromNeuron=cRow*INPUT_NEURONS_WIDTH+cCol
fromNeuron=fromNeuron+(CARow*CA_HEIGHT*INPUT_NEURONS_WIDTH)
fromNeuron = fromNeuron + (CACol*CA_WIDTH)
for cSynapse in range (0,numSynapses):
toCol = cCol + cSynapse + 1
toRow = cRow
if (toCol>=CA_WIDTH) :
toCol = toCol - 10
toRow = toRow + 1
if (toRow>=CA_HEIGHT) :
toRow = toRow - 10
toNeuron=toRow*INPUT_NEURONS_WIDTH+toCol
toNeuron=toNeuron+(CARow*CA_HEIGHT*INPUT_NEURONS_WIDTH)
toNeuron = toNeuron + (CACol*CA_WIDTH)
connector = connector + [(fromNeuron,toNeuron,synWeight,DELAY)]

return connector

#add connections up 5 and over one both ways (15)
def connectHEdgeBottomToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*10,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
for toRow in range(fromRow-5,fromRow):
for toCol in range (fromCol-1,fromCol + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections down left (7:30) 5 and over one both ways (15)
def connectSEdgeLeftToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (5,totalNeurons-(INPUT_NEURONS_WIDTH*10)):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol < 5:
continue
for rowChange in range(1,6):
toRow = fromRow+rowChange
for toCol in range (fromCol-rowChange-1,fromCol-rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#bedge
#add connections down right (4:30) 5 and over one both ways (15)
def connectBEdgeRightToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (0,totalNeurons-(INPUT_NEURONS_WIDTH*10)):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol > 45:
continue
for rowChange in range(1,6):
toRow = fromRow+rowChange
for toCol in range (fromCol+rowChange-1,fromCol+rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections down 5 and over one both ways (15)
def connectAndAngleToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (0,totalNeurons-(INPUT_NEURONS_WIDTH*10)):
fromRow = cNeuron/50
fromCol = cNeuron % 50
for toRow in range(fromRow+1,fromRow+6):
for toCol in range (fromCol-1,fromCol + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections up right (1:30) 5 and over one both ways (15)
def connectLessThanAngleToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*5,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol > 45:
continue
for rowChange in range(-5,0):
toRow = fromRow+rowChange
for toCol in range (fromCol-rowChange-1,fromCol-rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections up left (half ten) 5 and over one both ways (15)
def connectGreaterThanAngleToPyramid ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*5,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol < 6:
continue
for rowChange in range(-5,0):
toRow = fromRow+rowChange
for toCol in range (fromCol+rowChange-1,fromCol+rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector


#add connections down 5 and over one both ways (15)
def connectHEdgeTopToStalactite ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (0,totalNeurons-(INPUT_NEURONS_WIDTH*10)):
fromRow = cNeuron/50
fromCol = cNeuron % 50
for toRow in range(fromRow+1,fromRow+6):
for toCol in range (fromCol-1,fromCol + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections up left (half ten) 5 and over one both ways (15)
def connectSEdgeRightToStalactite ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*5,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol < 6:
continue
for rowChange in range(-5,0):
toRow = fromRow+rowChange
for toCol in range (fromCol+rowChange-1,fromCol+rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector


#add connections up right (1:30) 5 and over one both ways (15)
def connectBEdgeLeftToStalactite():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*5,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
if fromCol > 45:
continue
for rowChange in range(-5,0):
toRow = fromRow+rowChange
for toCol in range (fromCol-rowChange-1,fromCol-rowChange + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector

#add connections up 5 and over one both ways (15)
def connectOrAngleToStalactite ():
totalNeurons = INPUT_NEURONS_HEIGHT*INPUT_NEURONS_WIDTH
synWeight = 10.0
connector = []
for cNeuron in range (INPUT_NEURONS_WIDTH*10,totalNeurons):
fromRow = cNeuron/50
fromCol = cNeuron % 50
for toRow in range(fromRow-5,fromRow):
for toCol in range (fromCol-1,fromCol + 2):
toNeuron = toRow*50+toCol
connector = connector + [(cNeuron,toNeuron,synWeight,DELAY)]
return connector
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