| Literature DB >> 33443039 |
Roman Goulard1, Cornelia Buehlmann2, Jeremy E Niven2, Paul Graham2, Barbara Webb3.
Abstract
The natural scale of insect navigation during foraging makes it challenging to study under controlled conditions. Virtual reality and trackball setups have offered experimental control over visual environments while studying tethered insects, but potential limitations and confounds introduced by tethering motivates the development of alternative untethered solutions. In this paper, we validate the use of a motion compensator (or 'treadmill') to study visually driven behaviour of freely moving wood ants (Formica rufa). We show how this setup allows naturalistic walking behaviour and preserves foraging motivation over long time frames. Furthermore, we show that ants are able to transfer associative and navigational memories from classical maze and arena contexts to our treadmill. Thus, we demonstrate the possibility to study navigational behaviour over ecologically relevant durations (and virtual distances) in precisely controlled environments, bridging the gap between natural and highly controlled laboratory experiments.Entities:
Keywords: Associative learning; Insects; Motion compensator; Navigation; Treadmill; Untethered; Visual memory
Mesh:
Year: 2020 PMID: 33443039 PMCID: PMC7774907 DOI: 10.1242/jeb.228601
Source DB: PubMed Journal: J Exp Biol ISSN: 0022-0949 Impact factor: 3.312