Scientist interested in all aspects of brain and behavior. Loves to talk math and data. Professor of Biology at University of Washington, Seattle. Mom of 2 epsilons; paints in watercolor here, there, and anywhere.
lab website www.bingbrunton.com/people
Bing Wen Brunton
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Researchers have long searched for the neural circuit underlying locomotion. Now theyβve found it in flies.
By @natmesanash.bsky.social
#neuroskyence
www.thetransmitter.org/systems-neur...
Run, donβt walk, to your closest local preprint server to see our latest 3D tracking results!
Iβm still tickled that our results show flies donβt exactly walk, they βground runβ everywhere. I bet they also talk fast and suffer no fools.
I got to nerd out with @seanmcarroll.bsky.social last week π
Cool new work from @dudman.bsky.social and @fluketc.bsky.social Reward magnitude determines reinforcement learning efficiency: www.science.org/doi/10.1126/...
New preprint: Whole-body 3D kinematics of freely behaving π·πππ ππβπππ
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...
Mindscape 352 | Bing Brunton @bingbrunton.bsky.social on Connecting the Connectome to the Body. #MindscapePodcast
www.preposterousuniverse.com/podcast/2026...
Revision of @sarahpugly.bsky.social's πͺ° walking CPG preprint: www.biorxiv.org/content/10.1...
Major updates:
β motor rhythms replicate across 4 connectomes (incl. 2 new full-CNS datasets)
β robust across all 6 legs
β new analyses of the CPG motif show it's an outlier in the VNC
β improved code docs
A new preprint shows that deep learning can make a fly walk realistically using a wormβs brain β exposing a fundamental problem with how connectome models are being built and sold to investors.
By @natmesanash.bsky.social
#neuroskyence
www.thetransmitter.org/systems-neur...
for the cpg curious, we made this video to explain the project www.youtube.com/watch?v=twAZ...
The neuronal circuit controlling repetitive locomotion patterns in any animal has been a mystery until now.
Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five...
The sphinx, with a wormβs brain and a flyβs body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.
Mindscape 352 | Bing Brunton @bingbrunton.bsky.social on Connecting the Connectome to the Body. #MindscapePodcast
www.preposterousuniverse.com/podcast/2026...
New preprint: Whole-body 3D kinematics of freely behaving π·πππ ππβπππ
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...
1/ New preprint! π§ͺWith @talmo.bsky.social and team, we used deep learning on archival NASA video of mice on the ISS. Turns out mice in microgravity become tiny acrobats: huddling to sleep, doing backflips, even briefly generating their own ~1g. #SpaceBiology #OpenScience #NASA #SLEAP
