A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies

Alexander T. Lai, German Espinosa, Gabrielle E. Wink, Christopher F. Angeloni, Daniel A. Dombeck*, Malcolm A. MacIver*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Outside of the laboratory, animals behave in spaces where they can transition between open areas and coverage as they interact with others. Replicating these conditions in the laboratory can be difficult to control and record. This has led to a dominance of relatively simple, static behavioral paradigms that reduce the ethological relevance of behaviors and may alter the engagement of cognitive processes such as planning and decision-making. Therefore, we developed a method for controllable, repeatable interactions with others in a reconfigurable space. Mice navigate a large honeycomb lattice of adjustable obstacles as they interact with an autonomous robot coupled to their actions. We illustrate the system using the robot as a pseudo-predator, delivering airpuffs to the mice. The combination of obstacles and a mobile threat elicits a diverse set of behaviors, such as increased path diversity, peeking, and baiting, providing a method to explore ethologically relevant behaviors in the laboratory.

Original languageEnglish (US)
Article number113671
JournalCell reports
Volume43
Issue number2
DOIs
StatePublished - Feb 27 2024

Funding

We thank H. Davoudi for help with setting up animal care and pilot experiments. We thank L. Browdy, P. Ryan, J. Murciano, B. Zitzewitz, S. Griswold, and A. Ulmer for assisting with behavioral experiments and animal care. This work was funded by NSF IIS 2123725 and NSF ECCS 1835389 (to M.A.M. and D.A.D.).

Keywords

  • CP: Neuroscience
  • behavioral task
  • naturalistic
  • planning
  • predator-prey
  • reconfigurable arena
  • representations of others
  • robot
  • spatial cognition
  • spatial navigation

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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