
Input data size [72,1076000] = 72 channels, 1076000 frames
Finding 72 ICA components using extended ICA.
Kurtosis will be calculated initially every 1 blocks using 6000 data points.
Decomposing 207 frames per ICA weight ((5184)^2 = 1076000 weights, Initial learning rate will be 0.001, block size 70.
Learning rate will be multiplied by 0.98 whenever angledelta >= 60 deg.
More than 32 channels: default stopping weight change 1E-7
Training will end when wchange < 1e-07 or after 512 steps.
Online bias adjustment will be used.
Removing mean of each channel ...
Final training data range: -5.78337 to 5.87512
Computing the sphering matrix...
Starting weights are the identity matrix ...
Sphering the data ...
Beginning ICA training ... first training step may be slow ...
Lowering learning rate to 0.0009 and starting again.
Lowering learning rate to 0.00081 and starting again.
Lowering learning rate to 0.000729 and starting again.
Lowering learning rate to 0.0006561 and starting again.
Lowering learning rate to 0.00059049 and starting again.
Lowering learning rate to 0.000531441 and starting again.
Lowering learning rate to 0.000478297 and starting again.
Lowering learning rate to 0.000430467 and starting again.
Lowering learning rate to 0.00038742 and starting again.
Lowering learning rate to 0.000348678 and starting again.
Lowering learning rate to 0.000313811 and starting again.
Lowering learning rate to 0.00028243 and starting again.
Lowering learning rate to 0.000254187 and starting again.
Lowering learning rate to 0.000228768 and starting again.
Lowering learning rate to 0.000205891 and starting again.
Lowering learning rate to 0.000185302 and starting again.
Lowering learning rate to 0.000166772 and starting again.
Lowering learning rate to 0.000150095 and starting again.
Lowering learning rate to 0.000135085 and starting again.
Lowering learning rate to 0.000121577 and starting again.
Lowering learning rate to 0.000109419 and starting again.
Lowering learning rate to 9.84771e-05 and starting again.
Lowering learning rate to 8.86294e-05 and starting again.
Lowering learning rate to 7.97664e-05 and starting again.
Lowering learning rate to 7.17898e-05 and starting again.
Lowering learning rate to 6.46108e-05 and starting again.
Lowering learning rate to 5.81497e-05 and starting again.
Lowering learning rate to 5.23348e-05 and starting again.
Lowering learning rate to 4.71013e-05 and starting again.
Lowering learning rate to 4.23912e-05 and starting again.
Lowering learning rate to 3.8152e-05 and starting again.
Lowering learning rate to 3.43368e-05 and starting again.
Lowering learning rate to 3.09032e-05 and starting again.
Lowering learning rate to 2.78128e-05 and starting again.
Lowering learning rate to 2.50316e-05 and starting again.
Lowering learning rate to 2.25284e-05 and starting again.
Lowering learning rate to 2.02756e-05 and starting again.
Lowering learning rate to 1.8248e-05 and starting again.
Lowering learning rate to 1.64232e-05 and starting again.
step 1 - lrate 0.000016, wchange 2185365000731481.00000000, angledelta  0.0 deg
Lowering learning rate to 1.18247e-05 and starting again.
step 1 - lrate 0.000012, wchange 111303566458.68484497, angledelta  0.0 deg
Lowering learning rate to 8.51379e-06 and starting again.
step 1 - lrate 0.000009, wchange 90015659.58467853, angledelta  0.0 deg
step 2 - lrate 0.000009, wchange 8077791950213655.00000000, angledelta  0.0 deg
Lowering learning rate to 6.12993e-06 and starting again.
step 1 - lrate 0.000006, wchange 532702.91172046, angledelta  0.0 deg
step 2 - lrate 0.000006, wchange 284521987364.35961914, angledelta  0.0 deg
step 3 - lrate 0.000005, wchange 10746165244916116.00000000, angledelta  0.4 deg
Lowering learning rate to 3.53084e-06 and starting again.
step 1 - lrate 0.000004, wchange 1930.90866337, angledelta  0.0 deg
step 2 - lrate 0.000004, wchange 3794691.68633928, angledelta  0.0 deg
step 3 - lrate 0.000004, wchange 7561438434.95926857, angledelta  6.7 deg
step 4 - lrate 0.000003, wchange 3128022287229.26757812, angledelta  6.7 deg
step 5 - lrate 0.000002, wchange 371183321828226.31250000, angledelta  6.7 deg
step 6 - lrate 0.000002, wchange 15868879627055320.00000000, angledelta  6.7 deg
Lowering learning rate to 1.30161e-06 and starting again.
step 1 - lrate 0.000001, wchange 34.62159396, angledelta  0.0 deg
step 2 - lrate 0.000001, wchange 153.81956551, angledelta  0.0 deg
step 3 - lrate 0.000001, wchange 2531.42194057, angledelta 58.7 deg
step 4 - lrate 0.000001, wchange 41663.93651926, angledelta 58.7 deg
step 5 - lrate 0.000001, wchange 685734.95782959, angledelta 58.7 deg
step 6 - lrate 0.000001, wchange 11286318.24112585, angledelta 58.7 deg
step 7 - lrate 0.000001, wchange 185758329.11683106, angledelta 58.7 deg
step 8 - lrate 0.000001, wchange 3057343956.70266533, angledelta 58.7 deg
step 9 - lrate 0.000001, wchange 22982697256.69777679, angledelta 58.7 deg
step 10 - lrate 0.000001, wchange 106493637674.45710754, angledelta 58.7 deg
step 11 - lrate 0.000001, wchange 334050885468.92291260, angledelta 58.7 deg
step 12 - lrate 0.000001, wchange 765372167013.00512695, angledelta 58.7 deg
step 13 - lrate 0.000000, wchange 1362105166036.09936523, angledelta 58.7 deg
step 14 - lrate 0.000000, wchange 1978764216723.99584961, angledelta 58.7 deg
step 15 - lrate 0.000000, wchange 2442360258778.20703125, angledelta 58.7 deg
step 16 - lrate 0.000000, wchange 2645171430965.22900391, angledelta 58.7 deg
step 17 - lrate 0.000000, wchange 2579762482106.47998047, angledelta 58.7 deg
step 18 - lrate 0.000000, wchange 2313271308463.03417969, angledelta 58.7 deg
