Brad Hulse

Brad Hulse

@bradkhulse.bsky.social

Neuroscientist | Navigation | Central complex bumpologist | Senior scientist at Janelia

446 followers478 following28 posts

Brad Hulse reposted

We are hiring an AI@HHMI Program Manager to help run HHMI's $500M AI initiative: projects, budgets, staffing, recruiting, events, outreach. Advanced degree, program management experience, fluent with AI tools and effective without them 😉. Work with me! hhmi.wd1.myworkdayjobs.com/en-US/Extern...

hhmi.wd1.myworkdayjobs.comAI@HHMI Project ManagerPrimary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. The Howard Hughes Medical Institute’s Janelia Research Campus is a pio...

Brad Hulse reposted

How do 🐁deal with complex landscapes? Turns out they learn a lot very quickly. We think they do this by learning a set of repeated sparse paths, which form a type of compressed world model. Joint work with the Hermundstad lab, led by Tzuhsuan Ma and Alison Comrie: www.biorxiv.org/content/10.6...

Brad Hulse reposted

Brad Hulse reposted

Preprint time! This is a cool one. Complex systems, be they neural nets, interacting genes, or power grids, can produce diverse dynamics-- things like point attractors, limit cycles, and chaos. The dynamic landscape you get depends on how elements interact. But those interactions can also change!

Brad Hulse reposted

Brad Hulse reposted

Brad Hulse reposted

Imaging of activity in the telencephalon of adult zebrafish moving through a virtual reality revealed amazingly precise, structured internal representations of spatial environments. And they get better over time! Great work by Kim! Thanks also to Sriram and Jan. www.biorxiv.org/content/10.6...

biorxiv.orgDynamic cognitive representations in the dorsal pallium of adult zebrafishBrains rely on internal models of the world to interpret sensory input and to simulate the future. In the mammalian hippocampal-entorhinal network, environments are represented by cognitive maps that ...

Brad Hulse reposted

Brad Hulse reposted

And now this new beast - the full male fly central nervous system connectome - is out in print! www.cell.com/cell/fulltex... A phenomenal resource, @ukri.org @hhmijanelia.bsky.social, @cellpress.bsky.social

cell.comSexual dimorphism in the complete Drosophila male central nervous system connectomeThe Drosophila whole male central nervous system connectome enables end-to-end analysis of sensorimotor circuits. Comparison with existing female datasets shows that brain-wide wiring differences betw...
Greg Jefferis@jefferis.bsky.social

Excited to share our new #biorxivpreprint: “Sexual dimorphism in the complete connectome of the Drosophila male central nervous system” www.biorxiv.org/content/10.1... We describe the #connectomics reconstruction and analysis of an entire adult #maleCNS #drosophila central nervous system. 1/10

Brad Hulse reposted

(1/2) When Janelia set out to map every neuron in the fly brain in 2008, many thought it couldn’t be done. Nearly 20 years later, a complete wiring diagram of the 166,000+ neurons of the adult male fruit fly is helping to reveal the brain’s secrets: bit.ly/4zT7jPf.

Brad Hulse reposted

I’m very excited to share our new paper, led by the very talented Jack Bowler, a postdoc in the lab! www.nature.com/articles/s41... We all know that the way we learn something matters. But how does a training curriculum actually shape how the brain learns to solve a problem? a 🧵 1/N

nature.comStructured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex - Nature NeuroscienceThe authors use recurrent neural networks to predict how structured prior experience shapes neural dynamics as mice learn flexible timing strategies during complex context-dependent behavior.

Brad Hulse reposted

Olfactory cues are undoubtedly relevant for fruitflies seeking for rotten 🍊🍒🍐🍌. The Ruta demonstrates the neural computations of olfactory-guided vector memories in the central complex and their relevance for plume tracking. www.nature.com/articles/s41...

nature.comA vector-based strategy for olfactory navigation in Drosophila - NatureUsing a virtual reality system, experiments in Drosophila show that flies use memory mechanisms to navigate along the boundary of an odour plume and track the source of a smell.

Brad Hulse reposted

Brad Hulse reposted

Difficult decisions take time, but can we keep all accumulated evidence in mind long enough to make better choices? We find that working-memory limitations constrain decision-making, and these effects are modulated by dopamine. biorxiv.org/content/10.6... bioRxiv out with Cina Aghamohammadi et al.

biorxiv.orgWorking memory limitations and dopamine modulation in probabilistic reasoningDifficult decisions require gathering evidence over extended periods, placing demands on working memory. Yet, how working memory limitations affect decision-making remains largely unknown. We trained ...

Brad Hulse reposted

What regulates the urge to sleep? William Joo and colleagues identified brain regions that reflect how long mice have been awake. Strikingly, inhibiting one of these regions reduces sleep by 70%, without the major behavioral deficits associated with sleep deprivation. www.nature.com/articles/s41...

nature.comWake-activated neuronal populations that regulate sleep drive - NatureWhole-brain activity mapping, targeted cell manipulations and electrophysiology in mice identify wake-activated neuronal populations that are crucial for sleep drive and can persistently red...

Brad Hulse reposted

Our digital sphinx, a cautionary tale about the interpretation of connectome-body models, is now a reviewed preprint at @elife.bsky.social. We are grateful to the reviewers for engaging seriously with what we hope is a useful (if absurd) demonstration. elifesciences.org/reviewed-pre...

elifesciences.orgThe digital sphinx: Can a worm brain control a fly body?
John Tuthill@tuthill.bsky.social

🧵 New preprint led by @bingbrunton.bsky.social, @elliottabe.bsky.social, @lawrencehu.bsky.social We gave a worm brain control of a fly body and it walked What did we learn? Nothing, other than deep reinforcement learning is effective We call it the digital sphinx www.biorxiv.org/content/10.6...

Brad Hulse reposted

Brad Hulse reposted

HHMI is starting an institute-wide theory center, housed at Janelia and led by my brilliant friend, collaborator, and boss, Ann Hermundstad! It’s wonderful to see theory recognized as a central part of scientific discovery and understanding. Stay tuned for job postings.

HHMI@hhmi-science.bsky.social

Meet Janelia Group Leader Ann Hermundstad, now Head of Theory@HHMI. Our newest HHMI Janelia Initiative joins Biology, Tools@HHMI, & AI@HHMI in advancing Janelia’s mission to understand how the brain generates behavior, & in strengthening scientific capability across HHMI: bit.ly/3Stxg73.

Brad Hulse reposted

🎉 this paper is now out - we show how subicular plateaus are linked to reward locations. Congratulations to the whole team! www.cell.com/cell-reports...

cell.comSubicular plateaus signal reward locations during goal-directed behaviorUsing in vivo whole-cell recordings during goal-directed navigation, Bhatia, Adel, and Grienberger identify plateaus as a prominent feature of subiculum activity. These events preferentially occur nea...
Christine Grienberger@cgrienberger.bsky.social

🚀 New preprint from the lab! Our first foray into the subiculum uses in vivo whole-cell recordings to show that dendritic plateaus are a prominent, learning-dependent signaling mode of subicular neurons. Feedback is welcome! www.biorxiv.org/content/10.6...

👇👇👇 And don’t miss the appendix, especially if you’re a fellow bumpologist. They saved some cool ideas for the end. It’s a great read.

Adrian Duszkiewicz@adrian-du.bsky.social

Functional Logic of a Cognitive Brain System for Navigation A fascinating review of the Drosophila head-direction system by Gaby Maimon and Larry Abbott #neuroskyence #compneuro

Brad Hulse reposted

Very exciting to see our work being highlighted by @thetransmitter.bsky.social! Thanks to Natalia Mesa, and as always thanks to our collaborators in the Jayaraman lab!… back to grinding away at reviewer experiments

Yvette Fisher@yvetteefisher.bsky.social

Thank you Natalia Mesa at the @thetransmitter.bsky.social for highlighting our labs preprint on synaptic mechanisms of head direction learning!! 🪰🧭 Work from @markplitt.bsky.social in my lab in collaboration with the Jayaraman lab! www.thetransmitter.org/learning-and...

Brad Hulse reposted

Brad Hulse reposted

Brad Hulse reposted

Agentic coding is genuinely useful now, and there are some impressive reports of AI agents doing science. But how well and how reliably can they handle tasks scientists actually want to hand off, ones that bottleneck progress? How do we even measure that?? New paper🧵 arxiv.org/abs/2606.07718 1/10

arxiv.orgA case study of evaluating AI agents on a neuroscience data-to-discovery pipelineAgentic AI tools offer a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months to build, where...

Brad Hulse reposted

NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions

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Guided by this understanding, we analyzed multiple fly connectomes and found evidence for hidden symmetries in the recurrent connectivity of head direction cells with shared directional tuning, suggesting the fly’s heterogeneous connectivity can support ring attractor dynamics.

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To test this idea, we developed an algorithm that clones the dynamics of individual neurons, allowing us to transform networks with symmetric connectivity into functionally equivalent networks with “hidden symmetries” without sacrificing exact attractor dynamics.

Unlike classic models, which clone entire rings to build in phase shifts, our algorithm uses single-unit phase shifts for velocity integration. By understanding how hidden symmetries are generated, we could reverse the algorithm to recover them from heterogeneous networks.

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Because heterogeneous connectivity always emerged alongside groups of units that shared the same head direction tuning, we wondered if these “dynamical clones” could support exact ring attractor dynamics without perfectly symmetric connectivity.

To start, we trained RNNs to integrate angular velocity, but with recurrent weights that ranged from fully ring-constrained (as in classic models) to fully unconstrained. Comparing these to connectome-constrained RNNs let us place the fly attractor in this broader solution space.

Connectome-constrained RNNs and fully unconstrained RNNs learned solutions with three properties not found in classic models: clustered head direction tuning (where multiple units share a ring location), heterogeneous phase shifts, and variable velocity tuning.

Brad Hulse reposted

It’s very fun to analyze other people’s data for your favorite model and theory, but data reuse actually takes a huge amount of effort. We tested if current agentic AI can help with data reuse. Conclusion: it definitely can, but requires careful human supervision. #AIforScience #compneuro #neuroAI

Kristin Branson @kristinmbranson.bsky.social

New preprint with @lingqiz.bsky.social: Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse arxiv.org/abs/2605.12808 1/10

Brad Hulse reposted

Brad Hulse reposted

It was a blast to put this review together with @adriennekinman.bsky.social and Larissa! The subiculum is a gem of a brain region. Also - the manuscript process at @cp-trendsneuro.bsky.social was a pleasure - thoughtful&involved feedback from reviewers&editor that really elevated our manuscript

Trends in Neurosciences@cp-trendsneuro.bsky.social

'The subiculum: cell-type-specific composition, computation, and function' by Adrienne Kinman @adriennekinman.bsky.social, Larissa Kraus & Mark Cembrowski @markcembrowski.bsky.social www.cell.com/trends/neuro...