Oppositions, joints, and targets: the attractors that are the glue of social interactions

• Published in: Frontiers in Behavioral Neuroscience
• Main Authors: Jackson R. Ham, Sergio M. Pellis, Vivien C. Pellis
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2024
• Subjects: Eshkol–Wachmann movement notation; DeepLabCut; Australian magpies; Cape Barren geese; beluga whales; giant Madagascar hissing cockroaches; Neurosciences. Biological psychiatry. Neuropsychiatry; RC321-571; Beluga; Beluga*
• Online Access: https://doi.org/10.3389/fnbeh.2024.1451283; https://doaj.org/article/25f67a30871b4c07a2496145d251b2b5

Social interactions are often analyzed by scoring segments of predefined behavior and then statistically assessing numerical and sequential patterns to identify the structure of the encounters. However, this approach can miss the dynamics of the animals’ relationship over the course of the encounter, one that often involves invariant bonds, say a nose-to-nose orientation, with many different movements performed by both partners acting to counteract each other’s attempts to break or maintain the relationship. Moreover, these invariant bonds can switch from one configuration to another during an interaction, leading from one stable configuration to another. It is this stepwise sequence of configurational stabilities that lead to functional outcomes, such as mating, aggression, or predation. By focusing on the sequence of invariant relational configurations, the deep structure of interactions can be discerned. This deep structure can then be used to differentiate between compensatory movements, no matter how seemingly stereotyped they may appear, from movement patterns which are restricted to a particular form when more than one option is available. A dynamic perspective requires suitable tools for analysis, and such tools are highlighted as needed in describing particular interactions.