The correlation coding and the adaptation of propagation and synaptic delays on pulse neural networks are discussed. It is shown that the structure of temporal correlation due to external signals is represented with the delays on a method of delay adaptation. This adaptive networks can separate correlation structures in a pulse train on which several trains are superimposed. By introducing the topological mapping, correlation structures of two external chaotic systems are reconstructed on the networks, furthermore, both of them can be extracted by the correlation coding.