Light-seeking strategies in Zebrafish larvae are dissected using a virtual-reality assay, and these data are used to establish minimal stochastic and neural-circuits models that quantitatively capture this behavior.
Brain imaging and behavioral analysis reveal two opposing states of hunger, represented by anti-correlated lateral and caudal hypothalamic dynamics that are important for the homeostatic control of feeding in zebrafish.
A mouse model of endometriosis reveals that moderate doses of Δ9-tetrahydrocannabinol produce clear regression of ectopic endometrial growths, pronounced alleviation of pelvic pain and unexpected memory improvements.
Analysis of crawling Drosophila larva and agent based simulations suggest that an intrinsic rhythm rather than distinct actions underlie taxis behaviour, providing a core mechanism on which both sensory and memory pathways can converge.
In vivo recordings in unanesthetized zebrafish larvae show that Purkinje neurons have two stable membrane potential states and that climbing fiber inputs can toggle them to up states during motor episodes.