I don't think this has been tried. What would be the heuristic for removing connections/nodes? It does seem to me, though, that the heuristic should be "learn from the data using backprop" and that you're essentially calling for L1 regularization (which encourages sparsity), or L2 regularization (which encourages small weights), which are already pretty standard in machine learning.
