Wolf De Wulf

space cells

Mission: record hippocampal place cells in zero gravity
Crew: 3 rats with electrode arrays
Vehicle: Space Shuttle Columbia
Status: data now publicly available on DANDI, 28 years later

The ratstronauts' mission is finally complete. 🐀🚀 h/t NASA

about.dandiarchive.org/blog/2026/02...

Mathematical Methods in Computational Neuroscience Summer school in Eresfjord, Norway (July 8th - 26th, 2024)

Applications are now open for the summer school: 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞

🧠 Apply before March 15: www.compneuronrsn.org

📍 Located in beautiful Eresfjord 🇳🇴
🗓️ Between July 6-24

Supported by the @kavlifoundation.org
In collaboration with @kavlintnu.bsky.social

Go fit some neural models!!
JAX, Pynapple, Poisson GLMs; what more can you ever wish for...

Yes, fair. Though, if the LLM knows about the standardised format (NWB here), it does allow some handy prompts like: "Can you find datasets recorded from the hippocampus that provide both raw recordings and spike-sorted cells?"
It would take me a lot longer to list all of those.

chat.neurosift.app/chat
does this reasonably well for DANDI/EBRAINS/OpenNeuro datasets

Pre-COSYNE Brainhack 2026 The 2026 edition of the Pre-COSYNE Brainhack in Lisbon, Portugal.

Pre-COSYNE Brainhack 2026 – Join Us in Lisbon!
March 10–11, 2026 • Lisbon, Portugal

pre-cosyne-brainhack.github.io/hackathon2026/

Kick off COSYNE week with two days of hands-on, team-based hacking around real electrophysiology data, open tools, and reproducible workflows. #brainhack #cosyne2026

An overview of the Open Software Summer School 2026 schedule. There are two tracks in the first week, "Animals in Motion" and "Large Array Data". "BrainGlobe" and "Extracellular Electrophysiology" will be run in the second week.

Three weeks left to apply for the Neuroinformatics Unit Open Software Summer School, August 17-28 2026 in London, UK!

Bringing together researchers and open source developers of ephys, behaviour and image analysis tools.

neuroinformatics.dev/open-softwar...

Deadline January 31st. Apply now!

Tolman's Sunburst Maze 80 Years on: A Meta‐Analysis Reveals Poor Replicability and Little Evidence for Shortcutting In 1946, Tolman et al. reported that rats could take a novel shortcut to a goal after training on an indirect route, supporting the Cognitive Map theory. However, a review of subsequent Sunburst maze...

Can humans & animals really use internal maps to take shortcuts?

Tolman famously said yes - based largely on his Sunburst maze.

Our new review & meta-analysis suggests evidence is far weaker than you might think.
🧵👇 doi.org/10.1111/ejn....

@uofgpsychneuro.bsky.social @ejneuroscience.bsky.social

2025: A Review of the Year in Neuroscience Enlightening the brain

Just published my review of neuroscience in 2025, on The Spike.

The 10th of these, would you believe?

This year we have foundation models, breakthroughs in using light to understand the brain, a gene therapy, and more

Enjoy!

medium.com/the-spike/20...

A 🍍 spotted in the wild at @edinburgh-uni.bsky.social!

Great crash course on neuro data processing with @pynapple.bsky.social and @spikeinterface.bsky.social delivered by @matthiashennig6.bsky.social, @wulfdewolf.bsky.social and Chris Halcrow. So nice to see both libraries working so well together

The postsubiculum as a head-direction cortex The organisation of thalamocortical networks follows a conserved structure. Traditionally, these are divided into primary sensory systems that receive…

Really excited to share this Opinion piece we've been working on with fellow head-direction cell geeks @apeyrache.bsky.social @desdemonafricker.bsky.social and (bsky-less?) Andrea Burgalossi! While head-direction cells pop up in many cortical regions, we think that one of them is quite unique (1/8)

@benjocowley.bsky.social @david-klindt.bsky.social
@dinanthos.bsky.social
Would love to hear what you think!

We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo.

With @wulfdewolf.bsky.social, Danai Katsanevaki, @arnoonken.bsky.social, @rochefortlab.bsky.social.

Paper and code at the end of the thread!

🧵1/7

Finally preprinted! TL;DR: thalamic head-direction neurons can shape their activity regardless of input. Big thanks to @apeyrache.bsky.social and master experimentalist @sskromne.bsky.social .

New workshop! Just before SFN, join the Flatiron Institute Center for Computational Neuroscience of the Simons Foundation for a workshop on pynapple and NeMoS. Learn how to use these open-source packages to analyze and model neural data! Accommodation & meals provided. Link ⬇️

Excited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.

any chance I can still get the call link?
registrations are closed...

Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal identity and reward contingency signals during rule-reversal - Nature Communications Hernandez-Trejo, Ciuparu, and Garcia da Silva et al. report that the piriform-to-olfactory bulb feedback in the mouse carries multimodal identity and reward contingency signals, which are re-formatted...

New paper from the lab: feedback from piriform cortex to the olfactory bulb carries identity and reward contingency signals in a multimodal (odor and sound) rule-reversal task. Feedback is re-formatted within seconds and reflects changes in the perceived rules of engagement.
doi.org/10.1038/s414...

We are pleased to be partnering with The UKRI AI CDT in Biomedical Innovation at the School of Informatics (University of Edinburgh). These PhD projects have a strong translational focus and seek to develop & apply AI approaches to biomedical domains ✨.
Apply by 20 Jan www.ai4biomed.io/how-to-apply/

Network model with excitatory feedforward connections (W) and recurrent inhibitory connections (M).

Check our latest work towards understanding learning and local plasticity in the brain with @matthiashennig6.bsky.social at @edinburgh-uni.bsky.social 🧠

Published in a @neuripsconf.bsky.social workshop this year. Now out on arxiv - arxiv.org/abs/2501.02402

Both the people and the environment at CSHL made my summer there the best I've ever had.
If you want to learn about neuroscience<->AI and meet interesting people, it would be a waste not to apply!

for better visibility: video of the Olney house woodpecker that made sure I was up on time every day

PhD project!

For those interested in NeuroAI: "Using large scale neural network models to bridge the translational gap from animal models to human insights in autism spectrum and neurodevelopmental disorders"

Apply here: www.ai4biomed.io/research/pro...

Now!

Or more likely, people should change what they think place cells mean.

Will give it a try! Thanks!!

Can't such much smart on CA2/3, will have to read up!
My only thought was that if (CA1) place cells "respond to the sequence of sensory inputs leading to a location",
then similar snapshots of activity will most often encode different things.
PCA only sees the instantaneous patterns, no sequences.

The paper doesn't look at place cells explicitly, but assuming everything transfers: at what point do we decide not to call it a place cell anymore?

I was going to comment about a biologically plausible implementation, but it seems you've heard that one enough.
As someone that looks at recordings all day, I'm constantly thinking about what signatures these models would leave behind.
I wonder if there's anything particular for CSCG.

2. I have found it hard to learn embeddings of space from hippocampal/MEC recordings in a 2D task.
In 1D, it is simpler because the trajectory to reach any position is always the same.
PCA/UMAP/CEBRA/... do not account for history.
Does the sequence hypothesis suggest that we need history to do it?

1. People are training RNNs with the same inputs as CSCG, either to predict the next visual input, or using RL. Neurons in those RNNs show spatial tuning.
Do you think that the CSCG graph is encoded in those RNNs? Is there a way to verify if the RNN is doing what CSCG does?