A model of novelty detection is developed which is based on an oscillatory
mechanism of memory formation and information processing. The frequency enc
oding of the input information and adaptation of natural frequencies of net
work oscillators to the frequency of the input signal are used as the mecha
nism of information storage. The resonance amplification of network activit
y is used as a recognition principle for familiar stimuli. Application of t
he model to novelty detection in the hippocampus is discussed.