neural network math
If models as on the homepage (electronic representation of the neuron), patterns can be simlated over time. Does that correspond with reality? What can be learned from deviations?
This is far more learnsome that formulating 'another hypothesis' and check it with SPSS and be happy when 'explained variation' is 20%!