Spontaneous problem-solving in bumble bees
www.science.org/doi/10.1126/...
Want to strengthen your PI skills?Join FKNE & FENS-CHET for Shape Your PI Skills at #FENSForum2026: peer-led roundtables on team management, mentoring, publishing, career development, well-being & EDI. Deadline: 2 June 2026. Register now, limited places: short.do/w-95FI
How is the ON and OFF pathway split in the visual system? 🤔
The textbook standard, that bipolar cells are separated simply by the glutamate receptors they express, might be due for an update....a short 🧵
Here is a banger! Our new paper in @currentbiology.bsky.social is out! We have used museomics to sequence a 45yr old specimen of Drosophila enhydrobia, a rare and most unusual fly whose larvae are aquatic(!) and predatory(!). Very cool, big success.
authors.elsevier.com/sd/article/S...
Zandawala lab is looking to recruit a postdoc to work on neuromodulation of feeding in Drosophila and other arthropods at KU Leuven (Leuven, Belgium).
Details for the position can be found here: www.kuleuven.be/personeel/jo...
Please share!
Video
Problem-solving using novel solutions without explicit training is often considered a hallmark of cognitive flexibility. We investigated whether bumble bees (Bombus terrestris) could solve a novel obj...
New preprint: Whole-body 3D kinematics of freely behaving 𝐷𝑟𝑜𝑠𝑜𝑝ℎ𝑖𝑙𝑎
New tech from @blobology.bsky.social & others at @hhmijanelia.bsky.social, which @ispizua.bsky.social and @elliottabe.bsky.social used to gain insight into 3D structure of locomotion & courtship
www.biorxiv.org/content/10.6...
We are recruiting a postdoctoral scientist to join the recently opened Zandawala Lab at KU Leuven. The position is funded by an Odysseus grant from FWO (Research Foundation – Flanders). For more infor...
🚨 PhD opportunity 🚨
Fully funded PhD at the University of Bristol (UK) on how ant colonies remodel their nests to optimise performance under pressure, combining experimental work, quantitative analysis, and field work.
Detail/how to apply: stroeymeyt-lab.co.uk/open-positio...
Deadline: 5 June 2026
Grima et al. introduce a novel foraging paradigm to understand how mice can rapidly learn to exploit multi-option environments with varied reward statistics. Decision-making is explained by a model integrating optimal foraging, reinforcement learning, and machine learning. Mesolimbic dopamine best reflects the dynamic global learning rate of the model.
