On the stochastic properties of the neural encoding mechanism of sound intensity

Authors

  • Liz C. Chang Edward S. Rogers Dept. of Elec. Eng., University of Toronto, Ont. M5S 3GS, Canada
  • Willy Wong Inst. Biomat. and Biomed. Eng., University of Toronto

Keywords:

Computer simulation, Functions, Mathematical models, Parameter estimation, Poisson distribution, Probability density function, Random processes, Signal encoding, Statistical methods, Neural encoding, Poisson process, Pulse-number distribution (PND), Stochastic properties

Abstract

The stochastic properties of the neural encoding mechanism of sound intensity were described. The homogeneous Poisson process was modified and extended to give a more realistic stochastic model that expressed the properties of auditory neurons quantitatively. A command program was written to control the different parameter values to study the effects of the different components on the mean-variance ratio. It was found that the ratio was a monotonic increasing function of dead time under a fixed firing rate, while it increased with increasing values of firing rate.

Additional Files

Published

2004-09-01

How to Cite

1.
Chang LC, Wong W. On the stochastic properties of the neural encoding mechanism of sound intensity. Canadian Acoustics [Internet]. 2004 Sep. 1 [cited 2024 Sep. 10];32(3):150-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1672

Issue

Vol. 32 No. 3 (2004)

Section

Proceedings of the Acoustics Week in Canada

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