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A Novel Artificial Model of Spiral Ganglion Cell and Its Spike-Based Encoding Function

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5506))

Abstract

In the mammalian inner ear, the inner hair cell transforms a sound-induced mechanical vibration into an electric potential. The spiral ganglion cell encodes the electric potential into a spike-train which is transmitted to the central nervous system. In this paper we present a novel artificial electrical circuit model of the spiral ganglion cell. We derive a return map which can analytically describe dynamics of the model. Using the map, we can derive theorems that guarantee that the presented model can realize some of important properties of the biological spiral ganglion cell. The theorems are confirmed numerically.

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References

  1. Geisler, C.D.: From sound to synapse: physiology of the mammalian ear. Oxford University Press, Oxford (1998)

    Google Scholar 

  2. Izhikevich, E.M.: Dynamical systems in neuroscience. MIT Press, Cambridge (2006)

    Google Scholar 

  3. Wei, D., Harris, J.: Signal reconstruction from spiking neuron models. In: Proc. of IEEE/ISCAS, vol. V, pp. 353–356 (2004)

    Google Scholar 

  4. Hamanaka, H., Torikai, H., Saito, T.: Quantized spiking neuron with A/D conversion functions. IEEE Trans. CAS-II 53(10), 1049–1053 (2006)

    Google Scholar 

  5. Torikai, H., Tanaka, A., Saito, T.: Artificial Spiking Neurons and Analog-to-Digital-to- Analog Conversion. IEICE Trans. Fundamentals 2008 (to appear)

    Google Scholar 

  6. Torikai, H., Saito, T.: Resonance phenomenon of interspike intervals from an Integrate-and-Fire Model with two periodic inputs. IEEE Trans. CAS-I 48(10), 1198–1204 (2001)

    Article  Google Scholar 

  7. Nishigami, T., Torikai, H.: Basic analysis of a leaky spiking oscillator with two periodic inputs. In: Proc. NOLTA (2008) (to appear)

    Google Scholar 

  8. Perez, R., Glass, L.: Bistability, period doubling bifurcations and chaos in a periodically forced oscillator. Phys. Lett. 90A(9), 441–443 (1982)

    Google Scholar 

  9. Martignoli, S., van der Vyver, J.-J., Kern, A., Uwate, Y., Stoop, R.: Analog electronic cochlea with mammalian hearing characteristics. Applied Physics Letters 91, 064108 (2007)

    Article  Google Scholar 

  10. Devaney, R.L.: An Introduction to Chaotic Dynamical Systems, 2nd edn. Addison Wesley, Reading (1989)

    MATH  Google Scholar 

  11. Lasota, A., Mackey, M.C.: Chaos, Fractals, and Noise: stochastic aspects of dynamics, 2nd edn. Springer, Berlin (1994)

    Book  MATH  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Torikai, H., Nishigami, T. (2009). A Novel Artificial Model of Spiral Ganglion Cell and Its Spike-Based Encoding Function. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_26

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  • DOI: https://doi.org/10.1007/978-3-642-02490-0_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02489-4

  • Online ISBN: 978-3-642-02490-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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