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Brad Hulse

@bradkhulse.bsky.social
443 followers 474 following 28 posts

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

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Reposted by Brad Hulse
Lukas Groschner @lukasgroschner.bsky.social · 29/09/2026
Single-neuron computations depend on the subcellular distribution and voltage sensitivity of ion channels. | @pnas.org #HorizonEU @erc.europa.eu (1/5) www.pnas.org/doi/10.1073/...
pnas.org
Distribution and voltage dependence of ion channels shape single-neuron computations | PNAS
Voltage-gated ion channels do not distribute evenly in the plasma membrane of a neuron; they localize to distinct domains where they govern the exc...
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Matt Lovett-Barron @mlovettbarron.bsky.social · 23/09/2026
Our lab's latest paper on the neurobiology of collective behavior is now published www.nature.com/articles/s41... This is the work of a great team in the lab - led by Jo-Hsien Yu, with Geoff Meyerhof, Jimjohn Milan, and Julia Napoli @nature.com @danionella.bsky.social
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Ann Kennedy @antihebbiann.bsky.social · 22/09/2026
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!
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Soledad Gonzalo Cogno @soledad-gcogno.bsky.social · 09/09/2026
📢🔥🎉🤩 New preprint from the lab, in collaboration with @clopathlab.bsky.social ! What network mechanisms generate a diversity of neural activity sequences within and across circuits? www.biorxiv.org/content/10.6... 🧵👇
biorxiv.org
A common structure in recurrent networks supports neural sequence generation locally and in downstream neurons
Neural sequences, characterized by neurons or groups of neurons that fire one after the other, have been observed in multiple brain regions, across species, and are known to underlie a diversity of br...
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Rainer Friedrich @rainerfriedrichlab.bsky.social · 08/09/2026
Ultrastructural reconstruction of hundreds of neurons by volume EM revealed cell types and a precise glomerular organization in the zebrafish olfactory bulb. A heroic effort by Nila! Special thanks to Nila @michalwj.bsky.social and the whole team! www.biorxiv.org/content/10.6...
biorxiv.org
Deep anatomical and ultrastructural classification of neurons in the zebrafish olfactory bulb
Neuronal circuits in the olfactory bulb (OB) perform computations fundamental to pattern classification including a decorrelation and normalization of odor-evoked activity. These computations are medi...
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Rainer Friedrich @rainerfriedrichlab.bsky.social · 08/09/2026
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.org
Dynamic cognitive representations in the dorsal pallium of adult zebrafish
Brains 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 ...
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Rainer Friedrich @rainerfriedrichlab.bsky.social · 08/09/2026
New preprint by Tommaso: olfactory cortex (of zebrafish) represents not only odor information but also temporal context, and these multimodal representations are sharpened after learning. And check out Tommaso's new method for 2P imaging in awake adult zebrafish! www.biorxiv.org/content/10.6...
biorxiv.org
Joint experience-dependent representations of odors and temporal context in the zebrafish homolog of piriform cortex
Intelligent behavior requires experience-dependent internal representations of relevant information. We examined representational learning in telencephalic area pDp of adult zebrafish, the homolog of ...
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Andrew Straw @andrewstraw.bsky.social · 04/09/2026
We are hiring! Come join us in the Straw Lab at the @biologyunifreiburg.bsky.social . Seeking a scientist to work on the neural and computational mechanisms of visual navigation in honey bees. uni-freiburg.de/en/job/00005...
Bee trajectories in agricultural landscape and two photon microscope for in-vivo calcium activity imaging.
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Alexander Shakeel Bates @asbates.bsky.social · 04/09/2026
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.com
Sexual dimorphism in the complete Drosophila male central nervous system connectome
The 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...
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HHMI @hhmi-science.bsky.social · 03/09/2026
(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.
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Jim Heys @jim-heys.bsky.social · 03/09/2026
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.com
Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex - Nature Neuroscience
The 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.
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International Society for Neuroethology @neuroethology.org · 01/09/2026
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.com
A vector-based strategy for olfactory navigation in Drosophila - Nature
Using 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.
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Jean-Paul Noel @jpnoel.bsky.social · 29/08/2026
First Noel Lab Pre-print! If you are into "peri-personal space" and feel like we need more single cell recordings, this one is for you! www.biorxiv.org/content/10.6...
biorxiv.org
An egocentric map prioritizing peri-personal space in the mouse rostro-lateral visual area
All physical interactions between an organism and its environment occur within the space immediately adjacent to and surrounding its body, its peripersonal space (PPS). This space has been extensively...
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Tatiana Engel @engeltatiana.bsky.social · 19/08/2026
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.org
Working memory limitations and dopamine modulation in probabilistic reasoning
Difficult 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 ...
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Alex Schier @schierlab.bsky.social · 19/08/2026
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.com
Wake-activated neuronal populations that regulate sleep drive - Nature
Whole-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...
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John Tuthill @tuthill.bsky.social · 17/08/2026
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.org
The digital sphinx: Can a worm brain control a fly body?
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Aaron Milstein @neurosutras.bsky.social · 13/08/2026
Our new preprint #manuskrypt is a labor of love and has a profound story behind it. @gritz122.bsky.social @argalloni.bsky.social (1/11) www.biorxiv.org/content/10.6...
biorxiv.org
GIRK Channel Loss of Function Increases Dendritic Excitability in a Mouse Model of GNB1 Encephalopathy
GNB1 encephalopathy (GNB1-E) is a rare neurodevelopmental disorder associated with motor dysfunction, epilepsy and learning disability caused by mutations in the gene encoding the G protein subunit Gβ...
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Bahl Lab @bahllab.bsky.social · 12/08/2026
The animal is the same. The stimulus is identical. Yet the behaviour varies. Why? In our new study, @ashritocyte.bsky.social explores the sources of this behavioural variability under fully controlled conditions in larval zebrafish doing optomotor response. (1/7) www.biorxiv.org/content/10.6...
biorxiv.org
Opposing influences of sensory and response history in larval zebrafish
Variability is a prominent feature of animal behavior across species. Despite highly controlled experimental conditions, the same individual often responds differently to repeated identical stimulatio...
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Sophie Caron @thecaronlab.bsky.social · 11/08/2026
1/10 We all know that person... Fast asleep in the back of the seminar room. 😴 Suddenly, they WAKE UP 😳 ask the sharpest question ⚡ and everyone wonders whether they were listening all along. Our Arc mutant flies are THAT person. A thread! 🧶
static.klipy.com
ALT:
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Brad Hulse @bradkhulse.bsky.social · 10/08/2026
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.
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Abraham Zelalem Vollan @azvollan.bsky.social · 06/08/2026
Now in Science: How does the brain’s navigation system allocate its limited representational resources during behavior? We found that grid cells sweep toward locations of interest, providing a potential mechanism for allocating spatial attention in the cognitive map.🧵 science.org/doi/10.1126/...
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Christine Grienberger @cgrienberger.bsky.social · 05/08/2026
🎉 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.com
Subicular plateaus signal reward locations during goal-directed behavior
Using 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...
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Yichen Luo 骆奕辰 @camellyc.bsky.social · 03/08/2026
1/8 Breathing seems automatic. But it's a finely tuned motor behavior that has to be controlled. In this preprint, I map the circuits that match a fly's respiration to the metabolic demands of flight and mitigate the risk of dehydration. 🧵🪰 www.biorxiv.org/content/10.6...
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Catherine (Katie) Schretter @ceschretter.bsky.social · 31/07/2026
We are looking for other scientifically curious and creative team players with diverse perspectives to build up our group across all levels. If you are interested in joining or collaborating, please check out our website (www.schretterlab.org) and feel free to reach out (cschretter at smu.edu).
schretterlab.org
Schretter Lab
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Stanley Heinze @stanley-heinze.bsky.social · 30/07/2026
New preprint! www.biorxiv.org/content/10.6... Nearly a decade after starting the project, the first major results from our comparative connectomics work is online! Comparing the head direction circuits of the central complex in bees, ants and flies, recapitulating >300million years of evolution.
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Brad Hulse @bradkhulse.bsky.social · 16/07/2026
👇👇👇 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.
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Mark Plitt @markplitt.bsky.social · 07/07/2026
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
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Yvette Fisher @yvetteefisher.bsky.social · 07/07/2026
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...
thetransmitter.org
Unique learning mechanism drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
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Tim Behrens @behrenstimb.bsky.social · 27/06/2026
This paper is an absolutely beautiful combination of a deep set of cognitive ideas, a super creative task, a surprisingly impressive behaviour, and an elegant modelling framework. One of my favourite things in the last year.
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Kristin Branson @kristinmbranson.bsky.social · 10/06/2026
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.org
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
Agentic 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...
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Flavio Martinelli @flavioh.bsky.social · 10/06/2026
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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Wei-Chung Allen Lee @darbly.bsky.social · 09/06/2026
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
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Brad Hulse @bradkhulse.bsky.social · 21/05/2026
Story time friends... Ring attractor networks rely on fine-tuned symmetric connectivity. The fly head direction network has ring attractor dynamics but heterogeneous connectivity. How is this possible? 1/🧵 Link: www.biorxiv.org/content/10.6...
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Ling-Qi Zhang @lingqiz.bsky.social · 18/05/2026
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
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Kristin Branson @kristinmbranson.bsky.social · 18/05/2026
New preprint with @lingqiz.bsky.social: Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse arxiv.org/abs/2605.12808 1/10
Overview of the data conversion task. The benchmark includes eight datasets spanning a range of neural recording modalities, behavioral tasks, measurements, experiment protocols, and data formats. For each dataset, agents were also given the released paper, methods, and code, together with a structured prompt. The agent’s goal was to convert each heterogeneous source dataset into a common format suitable for a neural decoding task. 
Diagram has a column for each of 8 papers from mouse systems neuroscience. The first row shows the name of the dataset and a description of the focus of that work: 1) Allen2P: Visual change detection,2) Lee2025: Spatial coding & remapping, 3) Majnik2025: Cortical development, 4) Sosa2024: Spatial reward learning,  5) Chen2024: Memory-guided decision, 6) Hasnain2024: Context-based decision, 7) Zhang2025: Visual-motor decision, 8) Zhong2025: Visual learning. 
The next row shows the type of neural recording data: 1, 3, 4, 8: head-fixed calcium imaging, 2: miniprobe, 5-7: neuropixels or other silicon probes
The next row shows the types of behavioral and task variables. These are different for every task
The next row shows a visualization of the experiment protocol for each task. Again, these are different for every task
The next row shows that this information is all condensed into data, paper, and code. Data has the different types of information in different orders and structures. It also shows the type of files: 1: NWB files & SDK, 2,6: MATLAB files, 3, 7: Python files, 4-5: NWB files, 8: Various + API
The next part of the diagram shows the task, which is for agents to convert the data to a common data format for a downstream decoder task.
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Laura Grima @lauragrima.bsky.social · 09/05/2026
Really pleased that this work with @dudman.bsky.social is now out in Neuron: A global dopaminergic learning rate enables adaptive foraging across many options
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mark cembrowski @markcembrowski.bsky.social · 01/05/2026
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
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Jan Funke @janfunkey.bsky.social · 07/04/2026
We are hiring a Software Engineer who can help us turn our methods into easily usable tools for: * Explainable AI * Cell Tracking * Interactive Learning ...and some more: careers.humantechnopole.it/job/Research... Feel free to reach out directly if you are interested and/or have questions!
careers.humantechnopole.it
Research Software Engineer
Research Software Engineer
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Mark Plitt @markplitt.bsky.social · 03/04/2026
My final paper from grad school is out! Thank you to @marisosa.bsky.social @ellasay.bsky.social and my co-first author Konstantin Kaganovsky! We show that reward and novelty coding in the hippocampus requires a specific membrane fusion protein implicated in activity-dependent AMPAR mobilization!
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Bing Wen Brunton @bingbrunton.bsky.social · 24/03/2026
Some of you saw a preview of this result at my Cosyne talk last week. We may have had too much fun working on this worm-fly model 🤣🤓🤣 (The digital sphinx may be imagery, but the lessons are real.)
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John Tuthill @tuthill.bsky.social · 24/03/2026
🧵 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...
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Benjamin Judkewitz @benjulab.bsky.social · 12/03/2026
Tiny, transparent, and now charted! Our brain atlas of adult Danionella cerebrum includes >200 annotated regions, 29 whole-brain in situs, and male/female reference volumes – openly available, versioned and extendable. Work by @nkadobyansky.bsky.social and team. www.biorxiv.org/content/10.6...
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Matteo Guardamagna @matteoguardamagna.bsky.social · 11/03/2026
1/7 🧠 My journey into development begins with this work and question: how does the brain's spatial navigation system develop? We found that the neural networks for spatial navigation (tori and rings) are preconfigured and only later anchor gradually to the world with experience! 🧵
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Edvard I Moser @edvardmoser.bsky.social · 11/03/2026
Is spatial navigation innate 🧠? Using #NeuroPixels we show that the #torus 🍩 underlying the #GridCell map exists already on day 10 in rats — before pups open eyes and ears and before they start upright walking. 🧵1:4 👇 www.biorxiv.org/content/10.6...
biorxiv.org
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David G. Clark @david-g-clark.bsky.social · 04/03/2026
I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs: www.biorxiv.org/content/10.6...
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John Tuthill @tuthill.bsky.social · 03/03/2026
When a fly lands on your arm, how does your nervous system decide where to swat? By reconstructing tactile axons in a Drosophila connectome, we found a leg somatotopic map and downstream circuits that sample the map to initiate targeted grooming Led by Leila Elabbady, PhD doi.org/10.64898/202...
fly circuit diagram
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Christine Grienberger @cgrienberger.bsky.social · 02/03/2026
We’re looking for a new Research Tech! Our research tech is heading to graduate school (very exciting!), which means we’re recruiting someone new to join our team. The position involves hands-on neuroscience research in a collaborative environment. brandeis.wd5.myworkdayjobs.com/Jobs/job/Bra...
brandeis.wd5.myworkdayjobs.com
Research Technician
Research Technician position available in the Grienberger lab at Brandeis University. We are a new neuroscience group studying the cellular basis of learning and memory in the mammalian brain. This is...
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Stanley Heinze @stanley-heinze.bsky.social · 01/03/2026
After 5 years of developing, a new preprint from the lab - introducing our workflow for comparative insect connectomics, aimed at democratizing connectomics. @erc.europa.eu @lundvision.bsky.social @biologylu.bsky.social Read it here: www.biorxiv.org/content/10.6...
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jcrwhittington.bsky.social @jcrwhittington.bsky.social · 26/02/2026
2) Grid review. A detailed tour of the ingredients needed to get grid cells that actually look real. It boils down to: ✅ Path integration ✅ Non-linear readout ✅ Bio constraints (non-negativity and energy) Almost there on understanding grids! arxiv.org/abs/2601.12424 (2/3)
arxiv.org
If Grid Cells are the Answer, What is the Question? A Review of Normative Grid Cell Theory
For 20 years the beautiful structure in the grid cell code has presented an attractive puzzle: what computation do these representations subserve, and why does it manifest so curiously in neurons. The...
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