A spiking neural network implementation of sound localisation
Conference paper
Wall, J., McDaid, L.J., Maguire, L.P. and McGinnity, T.M. 2007. A spiking neural network implementation of sound localisation. IET Irish Signals and Systems. Derry, UK 13 - 14 Sep 2007 Derry, UK pp. 1-5
Authors | Wall, J., McDaid, L.J., Maguire, L.P. and McGinnity, T.M. |
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Type | Conference paper |
Abstract | The focus of this paper is the implementation of a spiking neural network to achieve sound localization; the model is based on the influential short paper by Jeffress in 1948. The SNN has a two-layer topology which can accommodate a limited number of angles in the azimuthal plane. The model accommodates multiple inter-neuron connections with associated delays, and a supervised STDP algorithm is applied to select the optimal pathway for sound localization. Also an analysis of previous relevant work in the area of auditory modelling supports this research. |
Keywords | sound localization; STDP; spiking neural networks |
Year | 2007 |
Conference | IET Irish Signals and Systems |
Accepted author manuscript | License CC BY-NC-ND |
Publication dates | |
14 Sep 2007 | |
Publication process dates | |
Deposited | 09 Jun 2016 |
Place of publication | Derry, UK |
Page range | 1-5 |
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https://repository.uel.ac.uk/item/86605
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