Input data size [72,921000] = 72 channels, 921000 frames Finding 72 ICA components using extended ICA. Kurtosis will be calculated initially every 1 blocks using 6000 data points. Decomposing 177 frames per ICA weight ((5184)^2 = 921000 weights, Initial learning rate will be 0.001, block size 69. 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: -3.70173 to 3.56758 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. step 1 - lrate 0.000020, wchange 14112730490805544.00000000, angledelta 0.0 deg Lowering learning rate to 1.45984e-05 and starting again. step 1 - lrate 0.000015, wchange 469562681979.93756104, angledelta 0.0 deg Lowering learning rate to 1.05109e-05 and starting again. step 1 - lrate 0.000011, wchange 253950524.66463321, angledelta 0.0 deg Lowering learning rate to 9.45977e-06 and starting again. step 1 - lrate 0.000009, wchange 36682100.30484533, angledelta 0.0 deg step 2 - lrate 0.000009, wchange 1321854494057919.00000000, angledelta 0.0 deg Lowering learning rate to 6.81103e-06 and starting again. step 1 - lrate 0.000007, wchange 278872.66676856, angledelta 0.0 deg step 2 - lrate 0.000007, wchange 78051030350.51246643, angledelta 0.0 deg step 3 - lrate 0.000005, wchange 1721161304892751.50000000, angledelta 3.4 deg Lowering learning rate to 3.92315e-06 and starting again. step 1 - lrate 0.000004, wchange 1326.64007618, angledelta 0.0 deg step 2 - lrate 0.000004, wchange 1785740.06890692, angledelta 0.0 deg step 3 - lrate 0.000004, wchange 2452493090.43142128, angledelta 8.1 deg step 4 - lrate 0.000003, wchange 748176127277.28039551, angledelta 8.2 deg step 5 - lrate 0.000003, wchange 69311375148821.54687500, angledelta 8.3 deg step 6 - lrate 0.000002, wchange 2327977090428656.00000000, angledelta 8.5 deg Lowering learning rate to 1.44623e-06 and starting again. step 1 - lrate 0.000001, wchange 32.71260638, angledelta 0.0 deg step 2 - lrate 0.000001, wchange 111.54851445, angledelta 0.0 deg step 3 - lrate 0.000001, wchange 1600.31566784, angledelta 60.8 deg step 4 - lrate 0.000001, wchange 21351.69600966, angledelta 0.1 deg step 5 - lrate 0.000001, wchange 290476.05416646, angledelta 0.3 deg step 6 - lrate 0.000001, wchange 3951741.91061229, angledelta 0.4 deg step 7 - lrate 0.000001, wchange 53760984.35956031, angledelta 0.6 deg step 8 - lrate 0.000001, wchange 731385322.01447964, angledelta 0.8 deg step 9 - lrate 0.000001, wchange 9950067452.77124786, angledelta 1.0 deg step 10 - lrate 0.000001, wchange 63479888758.60813904, angledelta 1.2 deg step 11 - lrate 0.000001, wchange 257680154753.85751343, angledelta 1.4 deg step 12 - lrate 0.000001, wchange 726526343930.13122559, angledelta 1.6 deg step 13 - lrate 0.000001, wchange 1527562666805.16577148, angledelta 1.7 deg step 14 - lrate 0.000000, wchange 2536607963287.95947266, angledelta 1.9 deg step 15 - lrate 0.000000, wchange 3484368829496.26220703, angledelta 2.0 deg step 16 - lrate 0.000000, wchange 4109754174943.47705078, angledelta 2.1 deg step 17 - lrate 0.000000, wchange 4289416389249.38964844, angledelta 2.2 deg step 18 - lrate 0.000000, wchange 4058672995455.17236328, angledelta 2.2 deg step 19 - lrate 0.000000, wchange 3550199658802.34814453, angledelta 2.3 deg step 20 - lrate 0.000000, wchange 2916314856240.09912109, angledelta 2.3 deg step 21 - lrate 0.000000, wchange 2278208379100.64892578, angledelta 2.4 deg step 22 - lrate 0.000000, wchange 1709659282503.89428711, angledelta 2.4 deg step 23 - lrate 0.000000, wchange 1242516890015.80468750, angledelta 2.4 deg step 24 - lrate 0.000000, wchange 880215197226.24365234, angledelta 2.4 deg step 25 - lrate 0.000000, wchange 610951761108.76843262, angledelta 2.4 deg