Title :
Encoding and recall of noisy data as chaotic spatio-temporal memory patterns in the style of the brains
Author :
Kozma, Robert ; Freeman, Walter J.
Author_Institution :
Dept. of Molecular & Cell Biol., California Univ., Berkeley, CA, USA
Abstract :
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
Keywords :
brain models; chaos; neural nets; aperiodic oscillatory patterns; chaotic neural networks; chaotic trajectories; information coding; neural networks; noisy data; spatio-temporal memory patterns; Biological cells; Biological information theory; Biological neural networks; Biological system modeling; Brain modeling; Chaos; Encoding; Intelligent networks; Olfactory; Sensor arrays;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861431
