Application of chaotic neural model based on olfactory system on pattern recognitions

Lecture Notes in Computer Science

Volumn 3610, Issue PART I, 2005, Pages 378-381

  Li, Guang ^a   Lou, Zhenguo ^a   Wang, Le ^a   Li, Xu ^a   Freeman, Walter J ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; SPURIOUS SIGNAL NOISE;

HIGH-DIMENSIONAL CHAOTIC NEURAL NETWORKS; MEMORY LOCATIONS;

PATTERN RECOGNITION;

EID: 26844443115     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539087_47     Document Type: Conference Paper

References (6)

1. Freeman, W. J.:Mesoscopic neurodynamics: from neuron to brain. J. Physiology - Paris 94(2000) 303-322
2. Freeman, W. J., Chang H.J., Burke, B.C., Rose, P. A., Badler, J.: Taming chaos: Stabilization of aperiodic attractors by noise. IEEE Transactions on Circuits and Systems 44(1997) 989-996
3. Chang, H. J., Freeman, W. J.: Biologically modeled noise stabilizing neurodynamics for pattern recognition. Int. J. Bifurcation and Chaos 8(1998) 321-345
4. Kozma, R., Freeman, W. J.: Chaotic resonance - methods and applications for robust classification of noisy and variable patterns. Int. J. Bifurcation and Chaos 11(2001) 1607-1629
5. Chang, H.J., Freeman, W. J.: Local homeostasis stabilizes a model of the olfactory system globally in respect to perturbations by input during pattern classification. Int. J. Bifurcation and Chaos 8(1998) 2107-2123
6. Principe, J. C., Tavares, V. G., Harris, J. G., Freeman, W. J.: Design and Implementation of a Biologically Realistic Olfactory Cortex in Analog VLSI. Proceedings of the IEEE 89(2001b) 1030-1051