Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains

We elaborate on information coding in chaotic neural networks. Noise plays a peculiar role in chaotic systems. We describe the constructive role of noise in stabilizing chaotic trajectories in Freeman s KIII model. KIII is a biologically plausible model of dynamic memories, which has been established to interpret EEG measurements in the olfactory system. The results are illustrated on the example of encoding of noisy data in spatio-temporal aperiodic oscillatory patterns in neural networks.