Wolf De Wulf

@wulfdewolf.bsky.social

PhD student @edinburgh-uni.bsky.social NeuroRSE intern @flatironinstitute.org NeuroAI intern @cshlnews.bsky.social Trying to understand spatial computation and memory in biological neural networks. I run a lot. wulfdewolf.github.io

If you are an undergraduate student interested in computational and systems neuroscience research, this is your chance to attend #COSYNE27 !!! Apply here for our undergrad travel grant tinyurl.com/cos27ugtravel deadline is Oct 30 (and if you are not an undergraduate, please help to spread the word!)

Cosyne 2027 Undergraduate Travel Grant Program

This is the application form for the Cosyne 2027 Undergraduate Travel Grant Program. The deadline to apply is October 30th 2026.

tinyurl.com

Now published @commsaicomp.nature.com with @neural-reckoning.org We: 🤖 Define a taxonomy of neural network architectures (here 128 unique structures) 🦾 Train > 25,000 models on different navigation tasks #RL 🧠 Link each architecture's behaviour to its memory dynamics doi.org/10.1038/s444...

A taxonomy of recurrence. We defined a family of neural networks for exploring questions in neuroscience and machine learning. Here each network is represented by three circles joined by different connections (short, coloured lines). Networks are joined by longer, pale grey lines if they differ by one connection. Moving from left to right takes us from the simplest to the most complex network.
Marcus Ghosh@marcusghosh.bsky.social · last yr.

How does the structure of a neural circuit shape its function? @neuralreckoning.bsky.social & I explore this in our new preprint: doi.org/10.1101/2025... 🤖🧠🧪 🧵1/9

A diagram showing 128 neural network architectures.

It was an eager crowd! Many got to decoding head direction from population activity, some without having used Python before. Thanks for having me, and thanks as well to the @simonsfoundation.org for funding the development of packages like Pynapple (@guillaumeviejo.bsky.social & Sarah Jo Venditto)

Adrian Duszkiewicz@adrian-du.bsky.social · 4mo ago

Fantastic turnout at the @dns-uom.bsky.social's inaugural Neural Data Analysis Workshop, over 20 ECRs attending the talks and hands-on sessions 🧠💻⚡ Huge thanks to @wulfdewolf.bsky.social, @ennyvb.bsky.social and Chris Halcrow for walking us through their cutting-edge tools! Links in the comments👇

What happens when 18 teams of expert neuroscientists analyze the exact same neurophysiology dataset? You might expect convergence, but that is not what we found. Very grateful for the opportunity to write with Gaëlle Chapuis about one of my favorite projects since I started working in science! 1/n

The Transmitter @thetransmitter.bsky.social · 4mo ago

A hackathon reveals that disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data, write @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence www.thetransmitter.org/reproducibil...

If you analyse ephys/calcium in Python (or want to) this will be super useful for you! We remade our entire pipeline to use Pynapple (and NeMoS), and it was shockingly easy. I'll be TAing, and happy to discuss your specific analysis needs. bonus: le Tour de France starts in Barcelona that week!!!

Flatiron Institute@flatironinstitute.org · 6mo ago

Apply for #FlatironCCN's Neural Data Analysis workshop at #FENS2026 before April 10! Learn more: https://www.simonsfoundation.org/event/ccn_fens2026/ #science #neuroscience

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! 🧵

Edvard I Moser@edvardmoser.bsky.social · 7mo ago

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...

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

Compact deep neural network models of the visual cortex

Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

rdcu.be

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

Mathematical Methods in Computational Neuroscience

Summer school in Eresfjord, Norway (July 8th - 26th, 2024)

compneuronrsn.org

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)

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…

sciencedirect.com