On the stochastic properties of the neural encoding mechanism of sound intensity
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 propertiesAbstract
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright on articles is held by the author(s). The corresponding author has the right to grant on behalf of all authors and does grant on behalf of all authors, a worldwide exclusive licence (or non-exclusive license for government employees) to the Publishers and its licensees in perpetuity, in all forms, formats and media (whether known now or created in the future)
i) to publish, reproduce, distribute, display and store the Contribution;
ii) to translate the Contribution into other languages, create adaptations, reprints, include within collections and create summaries, extracts and/or, abstracts of the Contribution;
iii) to exploit all subsidiary rights in the Contribution,
iv) to provide the inclusion of electronic links from the Contribution to third party material where-ever it may be located;
v) to licence any third party to do any or all of the above.
