 CAPs describe potentially causal connections between input and output.For a feedforward neural network, the depth of the CAPs is that of the network and is the number of hidden layers plus one (as the output layer is also parameterized).For recurrent neural networks, in which a signal may propagate through a layer more than once, the CAP depth is potentially unlimited.