“…Summary: vector computations in the FB The discussion above supports the notion that the FB network has the computational capacity to compute, store, and read out vectors in support of goal-directed navigational behaviors. While we have focused on path integration as a canonical vector-based computation, Drosophila are known to perform several other behaviors that may rely on the formation of goal vectors, including: local search, a path-integration-based foraging strategy (Corrales-Carvajal et al, 2016;Dethier, 1957;Kim and Dickinson, 2017); menotaxis, where a constant heading is maintained relative to an arbitrary goal direction to generate straight trajectories that support long-distance dispersal (Giraldo et al, 2018;Green et al, 2019;Leitch et al, 2020); place learning, which requires associating visual cues with the presence of a cool spot in an otherwise hot 2D environment (Melnattur et al, 2020;Ofstad et al, 2011); and the detour paradigm, where flies orient towards directions associated with attractive landmarks even after they have disappeared (Neuser et al, 2008). In addition, ethologically-based studies in behaving insects have established a range of vector-based behaviors, from long distance migrations that require a time-compensated sun compass (Heinze and Reppert, 2011;Perez et al, 1997) to the waggle dance that bees use to communicate the distance and direction of a food source (Frisch, 1967).…”