Public articles linked to the same research event.
arXiv Building on the Berdahl et al. 2013 model of collective sensing in fish schools, the study constructs a school-level generative model and proposes that the school approximately performs Bayesian inference over the local darkness gradient through individual speed differences and simple social forces, yielding a posterior whose statistics vary with environmental structure and relate systematically to collective motion and group-size-dependent sensing performance.
Building on the Berdahl et al. 2013 model of collective sensing in fish schools, the study constructs a school-level generative model and proposes that the school approximately performs Bayesian inference over the local darkness gradient through individual speed differences and simple social forces, yielding a posterior whose statistics vary with environmental structure and relate systematically to collective motion and group-size-dependent sensing performance.
Building on the Berdahl et al. 2013 model of collective sensing in fish schools, the study constructs a school-level generative model and proposes that the school approximately performs Bayesian inference over the local darkness gradient through individual speed differences and simple social forces, yielding a posterior whose statistics vary with environmental structure and relate systematically to collective motion and group-size-dependent sensing performance.
Building on the Berdahl et al. 2013 model of collective sensing in fish schools, the study constructs a school-level generative model and proposes that the school approximately performs Bayesian inference over the local darkness gradient through individual speed differences and simple social forces, yielding a posterior whose statistics vary with environmental structure and relate systematically to collective motion and group-size-dependent sensing performance.