We’re recruiting!
Exciting opportunities in our lab supported by a
@wellcometrust.bsky.social Discovery Award.
• Postdoctoral researchers
• Research assistant/PhD students
Join us to study how neural circuits drive decision-making.
Deadline 26/04
Learn more and Apply here: rezavallab.org
We’re hiring a lab manager!
Looking for someone organized, detail-oriented, and highly motivated to help keep research running smoothly and support a collaborative team.
Please share!
searchjobs.dartmouth.edu/postings/851...
So so well-deserved! Congratulations Carolina!!
Proud to share that our team made the local news. A big congratulations to Erin, Megan, and everyone on the team who made it happen.Thanks to Ben Hopkins and Artyom Kopp for the Preview piece.
www.ox.ac.uk/news/2026-03...
The School of Biosciences @unibirmingham.bsky.social is recruiting five Assistant/Associate Professors working across a range of areas, including neuroscience.
Join a vibrant interdisciplinary research environment.
Deadline: 14 April 2026
edzz.fa.em3.oraclecloud.com/hcmUI/Candid...
The registration is open! Junior #Drosophila PIs, join us for inspiring scientific discussion, contribute a talk and listen to our keynote speaker, Eugenia Chiappe. We meet in Palmela, Portugal from June 1st to 3rd. Register soon as spots are limited!
congressos.mundiconvenius.pt/geral/inseri...
Our new preprint is out!
A state-dependent neural circuit resolves approach–avoidance conflicts
www.biorxiv.org/content/10.6...
Fantastic work led by Devika Bodas, with key contributions from Marine Balcou, and a great collaboration with Lisa Scheunemann Lab, fearuting Şevval Demirci.
This video on Avatar 2/3 reignited this feeling: youtu.be/ueJTdtmZ5R4?.... Weta Workshop wanted to transfer actor faces to CGI Na'vi faces, which have different facial structure. So they built an anatomically inspired facial muscle model and fit it using gaussian splat meshes from video.
Wonderful team effort with @jan-ache.bsky.social, Fathima Iqbal, @sirinlieb.bsky.social, @merterginkaya.bsky.social, @sanderliessem.bsky.social, and others. Thanks to @erc.europa.eu #HorizonEurope #MSCA and @dfg.de for funding.
Thrilled to start 2026 with our latest preprint, in which we dive into a dedicated forward-walking circuit in the fly brain: doi.org/10.64898/202.... This effort was spearheaded by the fantastic @chrisjdallmann.bsky.social with help from a bunch of talented people in the lab.
Happy New Year from seasonally beautiful Newcastle-upon-Tyne! Get in touch if you are interested in our #PhDstudentship to research the neurobiological basis of social behaviour and its dysfunction in Drosophila melanogaster. Deadline for applications: 23rd January.
Carolin Warnecke together with Hanna, Dennis, Bene & Kerstin from my lab show that re-exposure to reward diminishes multiple associated olfactory memories.
We’re hiring 2 postdocs—DM/email me for details. #Postdoc #Hiring
www.sciencedirect.com/science/arti...
Thanks Tyler!!
We are extremely grateful to the #maleCNS team, incl. @janelia-flyem.bsky.social, @jefferis.bsky.social and lab, and many, many others. Backstory >> bsky.app/profile/jeff... Website >> male-cns.janelia.org
Author list from the preprint.
We, in this case, are stellar postdocs and shared first-authors @sanderliessem.bsky.social and @skasin.bsky.social with a team from @uni-wuerzburg.de, @hhmijanelia.bsky.social and @columbiauniversity.bsky.social in a collaboration between the Ache and Card labs & friends.
Overall, DNs form parallel, loosely-overlapping ensembles that span a continuum from command-like neurons to synergistic population codes. Upstream, distinct combinations of sensory feature detectors differentially recruit DN ensembles to enable flexible, context-dependent behavioral control.
A big correlation matrix comparing the output similarity of all DNs in the fly.
5th, it turns out - very! Based on their output similarity in the VNC, we were able to cluster all 1300 DNs into functional ensembles covering the entire behavioral space of the fly. DNs previously associated with specific behaviors clustered together. So these clusters align with specific behaviors
Illustration of the landing and takeoff pathways.
At this point, we’ve shown that landing and takeoff are controlled by separate, parallel populations of neurons on each sensorimotor level - from feature detection to pre-motor assemblies. Despite being triggered by the same visual stimulus. How widespread is this parallel processing architecture?
Visual tuning of landing DNp10, which responds to upward moving dark stripes and looming stimuli.
Despite relying on a different set of sensory feature detectors, landing DNs are responsive to frontal looming stimuli. But their response differs from that of takeoff DNs, showing that the networks upstream of each DN ensemble encode different parameters of the same stimulus.
Visual tuning and leg movements for a set of landing DNs
4th, we asked whether the variants of the landing movements driven by different DNs are matched to their sensory tuning - it turns out they are! Different Landing DNs receive visual input from different spatial directions, and the sensory tuning matches the movements they drive.
This makes sense, functionally, because landing is only relevant in the context of flight, and the landing motor pattern would disrupt other actions, such as walking or courtship, when evoked in the wrong context.
Electrophysiological recordings of landing DN during activation of upstream sensory feature detectors, and plot showing landing and takeoff DNs receive input from separate populations.
Our connectome analysis predicts functional connectivity, which we verify by patching/optogenetic activation experiments in behaving flies. Importantly, though, actual connectivity is heavily state-dependent, so that sensory activity gets routed into landing pathways only during flight.
Anatomy of visual inputs to the landing DNs alongside their respective activation phenotypes.
3rd we went upstream to ask how DNs get recruited by sensory systems. We identified all visual inputs to landing and takeoff DN ensembles - and find they are recruited by separate, parallel sets of visual feature detectors. And core input neurons to the landing pathway drive landing phenotypes.
Connectivity diagrams of and leg movements driven by specific landing DNs.
One neat little feat: within each ensemble, individual DNs make unique connections to motor neurons via specific interneurons, which enable variations of the core motor pattern - leading to landing movements with unique leg kinematics, such as reaching overhead, suitable for landing on the ceiling.
Anatomy and analysis of the Core Landing Motor Ensemble.
2nd we identified the Core Motor Assemblies linking DN ensembles to motor neurons. These assemblies predict movement sequences driven by DNs, such as extensions of all legs for landing through inhibition of leg flexors and excitation of extensors. Again, circuits for landing and takeoff > separated.
Neurons within each ensemble drive similar movements of the entire body, which we confirmed using optogenetics and behavioral tracking.
Analysis and anatomy of Landing DN Ensemble
1st we analyzed pathways for landing and takeoff - behaviors elicited by the same visual stimulus that involve different body movements. Comparing output connectivity of all descending neurons (DNs) to known DNs for landing and takeoff, we identify separate DN ensembles controlling each behavior.
Landing and takeoff sensorimotor pathways illustrated alongside fly drawings showing behavioral responses.
How do animals channel sensory information into motor pathways to generate flexible behavioral output? Excited to share a new preprint addressing this question by leveraging the new #maleCNS connectome, behavioral experiments, and in-vivo recordings: doi.org/10.64898/202.... A long🧵...
Deadline for this post-doc position in my lab extended to Jan 11th!
Happy to share our current opinion on the insulin and octopamine systems and their role in shaping neuronal circuits, energy homeostasis, and behavior in #Drosophila, other insects, and 🧑🦱.
