Matt Collie

@mottcallie.bsky.social

🧠 neuroscientist. 🍌 postdoc in the bean lab (harvard) developing new ion channel-targeted drugs and characterizing pain-sensing neurons.

Please check out @darbly.bsky.social & @asbates.bsky.social 's thread at bsky.app/profile/darb..., or HMS News at hms.harvard.edu/news/researc... for a quick overview, or read the full paper at doi.org/10.1038/s415... for details.

Researchers Publish First Complete Connectome of Fruit Fly Brain and ‘Spinal Cord’

Open-source resource poised to propel research on how nervous systems work

hms.harvard.edu

Wei-Chung Allen Lee@darbly.bsky.social · 2mo ago

Now published - the #BANC! A full central nervous system (CNS) connectome of a limbed animal at single-synapse resolution, enabling us to follow sensory-motor arcs and understand how the CNS controls the body. rdcu.be/fncjS. #neuroscience. Video by @quorumetrix.bsky.social 1/18

It’s surreal to think that every neuron and synapse in the fly brain + cord that was dissected almost five years ago (the photo’s still on the lab slack!) is now just a click away on Codex codex.flywire.ai?dataset=banc. This wouldn’t have been possible without the incredible team behind it!

Bild
Wei-Chung Allen Lee@darbly.bsky.social · last yr.

How is the nervous system organized to coordinate behavior? To approach this massive question, a team led by @asbates.bsky.social, @jasper-tms.bsky.social, @mindyisminsu.bsky.social, & Helen Yang present the BANC: a Brain and Nerve Cord connectome. Preprint: doi.org/10.1101/2025... 🧪#Neuroskyence

There is so much to learn from this dataset that it's overwhelming. It feels amazing to connect everything, from the "cognitive" regions of the brain all the way down to muscles, internal organs, and endocrine systems. With the analyses in our preprint, we've only just scratched the surface.

Our data support an architecture of distributed, parallelized, and embodied control, reminiscent of “subsumption architectures” from autonomous robotics, where behavior-centric feedback loops are organized s that they can be combined or subsumed to generate complex or resolve competing behaviors.

Schematic example of subsumption architecture. This example has two local loops (behavior 1 and behavior 2), corresponding e.g.
the control of individual legs. Behavior 3 is positioned to take control of both local loops (subsumption), contingent on some input from
both sensors. Behavior 4 is positioned to subsume all other behaviors, based on some other input from both sensors.

Moreover, Zaki Ajabi developed a computationally efficient method for quantifying the “influence” any neuron has on any other neuron in the CNS. We applied this method to estimate the pairwise interactions between all cells in the CNS, amounting to more than 20 billion influence scores.

Cartoon of directed network graph and schematic depicting the influence of source cells on target cells is estimated via linear dynamical modeling.

How is the nervous system organized to coordinate behavior? To approach this massive question, a team led by @asbates.bsky.social, @jasper-tms.bsky.social, @mindyisminsu.bsky.social, & Helen Yang present the BANC: a Brain and Nerve Cord connectome. Preprint: doi.org/10.1101/2025... 🧪#Neuroskyence

Alexander Shakeel Bates@asbates.bsky.social · last yr.

Public access to the first fly connectome that spans the whole CNS - BANC!: codex.flywire.ai?dataset=banc Different from prior connectomes - it is brain + cord (think spinal cord) We use it to ‘embody’ the system and find it resembles ‘subsumption architecture’ doi.org/10.1101/2025...