Caswell Barry

@caswell.bsky.social

Neuroscientist interested in representations of space & memory. Using tools from experimental & theoretical neuroscience as well as machine learning. @UCL https://barry-lab.com

A bit of housekeeping: I've tidied up the public-data page on the Barry Lab website. The raw datasets behind most of our main experimental papers — grid rescaling (Barry 2007), coordinated replay (Ólafsdóttir 2016), place-cell stability (Tanni 2022) — are now downloadable. barry-lab.com/github

We are recruiting! We are seeking a Research Technical Specialist in Mass Spectrometry. The main purpose of this position is to provide general and specialist research support including leading on method development in relation to Mass Spectrometry.

UCL – University College London

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

ucl.ac.uk

Hmmm so I see Fable is back. Though of the first five things I tried (Alzheimer's research related, grid cells, fine tuning the local LLM setup on my Mac, better gridness measures etc) all switched back to Opus because of 'safeguards'... that's a bit rubbish.

Really excited to see this out from the lab & CDB colleagues 🧠✨ A new perspective in Nature Reviews Neuroscience brings together an elegant idea: acetylcholine may help the hippocampus learn by prediction, not just store memories. Worth a read 👇 www.nature.com/articles/s41...

Acetylcholine: a candidate substrate for hippocampal predictive learning? - Nature Reviews Neuroscience

Predictive models have emerged as a normative lens for understanding neural function. In this Perspective, de Cothi, Shipley and Barry plausibly unify the diverse roles of hippocampal acetylcholine in...

nature.com

Caswell Barry@caswell.bsky.social · last mo.

Really excited about this work with the awesome Will de Cothi & @shipleysj.bsky.social, out in Nature Reviews Neuroscience. We propose acetylcholine is an analogue of dopamine — tracking not reward prediction errors but state-transition prediction errors. https://doi.org/10.1038/s41583-026-01058-w

The QS rankings are a crude, reductive instrument that flattens the rich complexity of a university into a single number. But @ucl.ac.uk is at number 8 this year, and I think that's pretty awesome. It's a brilliant place to work, and the science coming out of here right now is genuinely exciting.

Nice theory paper: prospective coding and path integration emerging as equilibrium solutions of self-organising networks, no pre-wired attractor required. The forward-shifted activity bump lines up with anticipatory firing in superficial entorhinal cortex. arxiv.org/abs/2606.14649

Interesting Transmitter article by Brian DePasquale on what will be the effect of the increasingly widespread use of LLMs to code up research ideas in neuroscience. Includes a somewhat sceptical commentary from me. 😉

The Transmitter @thetransmitter.bsky.social · 2mo ago

Agentic coding makes it possible to specify a neuroscience model in hours instead of months, writes @briandepasquale.bsky.social. The field risks becoming prolific but shallow—generating models faster than we can generate insights. #neuroskyence www.thetransmitter.org/the-big-pict...

Job klaxon 📣 UCL is hiring two NeuroAI / computational neuroscience specialists (Lecturer or Associate Prof) — a big part of the new NeuroAI centre we're growing in Biosciences. Do consider applying if it's relevant to you. JD & details: https://www.jobs.ac.uk/job/DRX021 Happy to take questions.

Something I should have read months ago. Ulanovsky's bats fly long tunnels and reveal CA3 as a single-field coder, CA1 as multi-field. Sparse in, dense out — really rather nice. https://www.nature.com/articles/s41586-026-10537-0

It has been super fun to work on this, where we learned that: 1) Mouse PFC is needed for model-based override of habits. 2) Separate PFC populations encode a 'policy' and the current 'value'. 3) The policy and value codes alternate theta sweeps towards the goal. ...and much much more!

@peterdoohan.bsky.social · 2mo ago

How do brains plan actions towards goals? To get at this question we studied mice navigating complex mazes as goals changed on every trial 🧵 Work with @thomasakam.bsky.social @behrenstimb.bsky.social @kristorpjensen.bsky.social now on BioRxiv: www.biorxiv.org/content/10.6...