A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.

ABSTRACT: Despite their small size, insect brains are able to produce robust and efficient navigation in complex environments. Specifically in social insects, such as ants and bees, these navigational capabilities are guided by orientation directing vectors generated by a process called path integration. During this process, they integrate compass and odometric cues to estimate their current location as a vector, called the home vector for guiding them back home on a straight path. They further acquire and retrieve path integration-based vector memories globally to the nest or based on visual landmarks. Although existing computational models reproduced similar behaviors, a neurocomputational model of vector navigation including the acquisition of vector representations has not been described before.

SUBMITTER: Goldschmidt D 

PROVIDER: S-EPMC5388780 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature