Predicting the long-term collective behaviour of fish pairs with deep learning

arXiv:2302.06839v2 Announce Type: replace
Abstract: Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social interactions in the fish species Hemigrammus rhodostomus. We compare the results of our deep learning approach to experiments and to the results of a state-of-the-art analytical model. To that end, we propose a systematic methodology to assess the faithfulness of a …

abstract arxiv collective computing cs.lg deep learning fish interactions long-term modern social species study studying type understanding