Format

Send to

Choose Destination
PLoS Comput Biol. 2012 Jan;8(1):e1002336. doi: 10.1371/journal.pcbi.1002336. Epub 2012 Jan 5.

A model of ant route navigation driven by scene familiarity.

Author information

1
Centre for Computational Neuroscience and Robotics, Department of Informatics, University of Sussex, Brighton, United Kingdom. b.t.baddeley@sussex.ac.uk

Abstract

In this paper we propose a model of visually guided route navigation in ants that captures the known properties of real behaviour whilst retaining mechanistic simplicity and thus biological plausibility. For an ant, the coupling of movement and viewing direction means that a familiar view specifies a familiar direction of movement. Since the views experienced along a habitual route will be more familiar, route navigation can be re-cast as a search for familiar views. This search can be performed with a simple scanning routine, a behaviour that ants have been observed to perform. We test this proposed route navigation strategy in simulation, by learning a series of routes through visually cluttered environments consisting of objects that are only distinguishable as silhouettes against the sky. In the first instance we determine view familiarity by exhaustive comparison with the set of views experienced during training. In further experiments we train an artificial neural network to perform familiarity discrimination using the training views. Our results indicate that, not only is the approach successful, but also that the routes that are learnt show many of the characteristics of the routes of desert ants. As such, we believe the model represents the only detailed and complete model of insect route guidance to date. What is more, the model provides a general demonstration that visually guided routes can be produced with parsimonious mechanisms that do not specify when or what to learn, nor separate routes into sequences of waypoints.

PMID:
22241975
PMCID:
PMC3252273
DOI:
10.1371/journal.pcbi.1002336
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center