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Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3610))

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Abstract

This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks by use of chaotic attractors for memory locations that are accessed by, chaotic trajectories. It was designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysioloical experiments, and has proved its utility as a model for biological intelligence in pattern classification. An application on recognition of handwritten numerals is presented here, in which the classification performance of the KIII network under different noise levels was investigated.

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References

  1. Freeman, W.J.: Mesoscopic neurodynamics: from neuron to brain. J. Physiology – Paris 94, 303–322 (2000)

    Article  Google Scholar 

  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, 989–996 (1997)

    Article  MathSciNet  Google Scholar 

  3. Chang, H.J., Freeman, W.J.: Biologically modeled noise stabilizing neurodynamics for pattern recognition. Int. J. Bifurcation and Chaos 8, 321–345 (1998)

    Article  MATH  Google Scholar 

  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, 1607–1629 (2001)

    Article  Google Scholar 

  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, 2107–2123 (1998)

    Article  MATH  Google Scholar 

  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, 1030–1051 (2001b)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, P.R. China

    Guang Li, Zhenguo Lou, Le Wang & Xu Li

  2. Division of Neurobiology, University of California at Berkeley, LSA 142, Berkeley, CA, 94720-3200, USA

    Walter J. Freeman

Authors
  1. Guang Li
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  2. Zhenguo Lou
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  3. Le Wang
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  4. Xu Li
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  5. Walter J. Freeman
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, G., Lou, Z., Wang, L., Li, X., Freeman, W.J. (2005). Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_47

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  • DOI: https://doi.org/10.1007/11539087_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28323-2

  • Online ISBN: 978-3-540-31853-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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