@inproceedings{83ba0e8dee944b0da906977e162ec77f,
title = "A Bayesian model of navigation in squirrels",
abstract = "Fox squirrels have an impressive ability to remember the location of stored food. In doing so, they combine information from landmarks of different types. We define a Bayesian model that indicates how an ideal observer would optimally integrate landmark cues, and fit this model to the decisions made by squirrels in a spatial memory task. The resulting model provides a unifying framework for characterizing different strategies to cue integration, and a tool for investigating the circumstances under which particular cues are used. We show that the best fitting models changed depending on the season at testing and the details of the task. These analyses support previous claims that squirrels adopt flexible strategies in landmark use.",
keywords = "Bayesian modeling, animal cognition, navigation, spatial cognition, spatial memory",
author = "Waisman, {Anna S.} and Lucas, {Christopher G.} and Griffiths, {Thomas L.} and Jacobs, {Lucia F.}",
note = "Publisher Copyright: {\textcopyright} CogSci 2011.; 33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 ; Conference date: 20-07-2011 Through 23-07-2011",
year = "2011",
language = "English (US)",
series = "Expanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011",
publisher = "The Cognitive Science Society",
pages = "1274--1279",
editor = "Laura Carlson and Christoph Hoelscher and Shipley, {Thomas F.}",
booktitle = "Expanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011",
}