Vries, K.J. de (2010) The modelling of neurons in the cochlear nucleus using Izhikevich neurons. Bachelor's Thesis, Artificial Intelligence.
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Abstract
An important function of our auditory system is it's capability of determining the direction of an incoming sound. Several parts of the auditory system are involved in this task, one of which is the cochlear nucleus. If one where to build a complete model of the sound localization capabilities of the auditory system a model of the cochlear nucleus, and hence the neurons in the cochlear nucleus. Current models for the cochlear nucleus neurons are variations of Hodgkin-Huxley conductance-based models. While being very accurate and biologically plausible they also rely on extensive intimate knowledge of the biophysical properties of the cell. This, combined with their computational costs, makes them impractical for constructing larger systems. A different model would be needed. The model needed would have to be simple enough to be created without to much intimate knowledge about the biophysical properties of the cell, and preferably be computationally fast. Also it would have to be extensive enough to duplicate all possible behaviors of the cell. Standard leaky integrate-and-fire neuron models won't suffice. Although simple and fast enough, they are not capable of reproducing the complete behavior of biological neurons in the cochlear nucleus. The Izhikevich model however claims to be a fast model for spiking neurons which is capable of demonstrating all desired behaviors of biological neurons. Also only very limited knowledge of the cell's biophysical properties are needed to create a model for this cell. This would make the Izhikevich model ideal for modelling neurons in the cochlear nucleus.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:44 |
| Last Modified: | 15 Feb 2018 07:44 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/9349 |
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