The information maximization view of ICA
Filter the data linearly and then applying a non-
linear “squashing” function.
The aim is to maximize the information that the
outputs convey about the input.
Since the outputs are a deterministic function
of the inputs, information is maximized by
maximizing the entropy of the output
This involves maximizing the individual entropies
of the outputs and minimizing the mutual
information between outputs.