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A Neural Model on Cognitive Process

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3971))

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Abstract

In this paper we studied a new dynamic evolution model on phase encoding in population of neuronal oscillators under condition of different phase, and investigated neural information processing in cerebral cortex and dynamic evolution under action of different stimulation signal. It is obtained that evolution of the averaging number density along with time in space of three dimensions is described in different cluster of neuronal oscillators firing action potential at different phase space by means of method of numerical analysis. The results of numerical analysis show that the dynamic model proposed in this paper can be used to describe mechanism of neurodynamics on attention and memory.

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References

  1. Wang, R.B., Zhang, Z.K.: Nonlinear stochastic models of neurons activities. Neurocom-puting 51, 401–411 (2003)

    Article  Google Scholar 

  2. Wang, R.B., Zhang, Z.K.: A Dynamic Evolution Model for the Set of Populations of Neurons. Int. J. Nonlinear Sci. and Num. Simul. 4(3), 203–208 (2003)

    Google Scholar 

  3. Wang, R.B., Yu, W., Jiao, X.F.: A Review of Application on Stochastic Dynamics in Brain Information Processing. Fudan Lecture in Neurobiology 307, 193–206 (2004)

    Google Scholar 

  4. Wang, R.B., Jiao, X.F.: Stochastic Model and Neural Coding of Large-scale Neural Popu-lation with Variable Coupling Strength. Neurocomputing (2005) (in press)

    Google Scholar 

  5. Jiao, X.F., Wang, R.B.: Nonlinear Evolution Model and Neuronal Coding of Neuronal Population with the Variable Coupling Strength in the Presence of External Stimuli. Appl. Phys. Lett. 87, 83901 (2005)

    Article  Google Scholar 

  6. Wang, R.B.: A New Nonlinear Phase Setting Models in Neurons Activities. In: Wang, L.P., Rajapakse, J.C. (eds.) Proceedings of 9th International Conference on Neural Infor-mation Processing, vol. 5, pp. 2497–2501. Fudan University Press, Shanghai (2002)

    Google Scholar 

  7. Wang, R.B., Yu, W.: A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-scale Neuronal Population. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005. LNCS, vol. 3610, pp. 490–497. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Wang, R.B., Yu, W.: Stochastic Nonlinear Evolutional Model of the Large-Scaled Neuronal Population and Dynamic Neural Coding Subject to Stimulation. J. Biol. Med. Eng (2006) (in press)

    Google Scholar 

  9. Tass, P.A.: Phase Resetting in Medicine and Biology. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  10. Wang, R.B.: Some Advances in Nonlinear Stochastic Evolution Models of Neuron Popu-lation. In: Zhu, W.Q. (ed.) Advance in Stochastic Structural Dynamics., pp. 453–461. CRC Press, USA (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute for Brain Information Processing and Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, Meilong Road 130, Shanghai, 200237, P.R. China

    Rubin Wang & Zhi-kang Zhang

  2. School of Science, Donghua University, West Yan-An Road 1882, Shanghai, 200051, P.R. China

    Rubin Wang & Jing Yu

Authors
  1. Rubin Wang
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  2. Jing Yu
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  3. Zhi-kang Zhang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, R., Yu, J., Zhang, Zk. (2006). A Neural Model on Cognitive Process. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_8

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  • DOI: https://doi.org/10.1007/11759966_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34439-1

  • Online ISBN: 978-3-540-34440-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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