Synchronization is introduced into a chaotic neural network model to discus
s its associative memory. The relative time of synchronization of trajector
ies is used as a measure of pattern recognition by chaotic neural networks.
The retrievability of memory is shown to be connected to synapses, initial
conditions and storage capacity. The technique is simple and easy to apply
to neural systems.