A Probabilistic Model of Auditory Space Representation in the Barn Owl
Abstract
The barn owl is a nocturnal hunter, capable of capturing prey using au- ditory information alone [1]. The neural basis for this localization be- havior is the existence of auditory neurons with spatial receptive fields [2]. We provide a mathematical description of the operations performed on auditory input signals by the barn owl that facilitate the creation of a representation of auditory space. To develop our model, we first formu- late the sound localization problem solved by the barn owl as a statistical estimation problem. The implementation of the solution is constrained by the known neurobiology.
Cite
Text
Fischer and Anderson. "A Probabilistic Model of Auditory Space Representation in the Barn Owl." Neural Information Processing Systems, 2003.Markdown
[Fischer and Anderson. "A Probabilistic Model of Auditory Space Representation in the Barn Owl." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/fischer2003neurips-probabilistic/)BibTeX
@inproceedings{fischer2003neurips-probabilistic,
title = {{A Probabilistic Model of Auditory Space Representation in the Barn Owl}},
author = {Fischer, Brian J. and Anderson, Charles H.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {1351-1358},
url = {https://mlanthology.org/neurips/2003/fischer2003neurips-probabilistic/}
}