New preprint with @sevberg.bsky.social! We map Hopfield-like binary networks onto spiking networks with dendrites … and it works! Same memory capacity, bigger basins of attraction, plus selective recall through dendritic gating, and more. How? Dendrites! See below.

Hi @cogcompneuro.bsky.social the rebuttal button for the CCN papers seems to have gone for a few hours now, and the deadline is only in two hours. Can you please look into this?

My travel to Cosyne was barred by the Trump admin, so I'm here on my personal dime. I care about the COSYNE community, I committed to co-chairing. And I always learn here.

But the worst part about this travel ban is my lab colleagues— students and fellows—couldn't come. /1

I am looking for a theory/computational POSTDOC position in EU or east coast US. I am interested in how learning and plasticity shape population dynamics & representational geometries & how these changes are reflected in behavior.

If you are at #COSYNE2026 & interested, hit me up in Whova, not here

Instagram Create an account or log in to Instagram - Share what you're into with the people who get you.

Follow us on instagram for live updates of what’s going on at COSYNE 2026 www.instagram.com/cosynemeetin...

🧠 Resting-state fMRI is often treated as the gold standard for studying the brain’s intrinsic organization.

But is it actually the best way to estimate functional architecture?

We tested this directly.

🧵1/8

22 years of Brain Science: what CoSyNe tells us about the evolution of Neuroscience Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting

I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.

Going to Cosyne? There will be a "Biologically-inspired Artificial Intelligence: Challenges and Opportunities" workshop on Monday 16th! 🧠

Exciting lineup of speakers alongside the opportunity to present your #NeuroAI poster, more info on program & poster signup below!

#compneuro #neuroscience

We're organising a #Cosyne workshop on biologically-inspired AI on Monday 16th with @achterbrain.bsky.social! 🧠
We've got an incredibly exciting array of speakers, and you have the possibility to sign up to present your poster on
#NeuroAI!
More info below ⬇️
#compneuro #neuroscience #neuroskyence

Thank you Mark for involving us! Very exciting story!

The contextual machine of the brain? Beautiful data!

First preprint from the lab! Using intracellular recordings & analysis of 2-photon imaging data, we show that spiking & neuromodulatory input during experience drive a reorganization of visuomotor inputs in V1 layer 2/3 neurons, consistent with enhanced visuomotor cancellation - bioRxiv link below.

Vectorized instructive signals in cortical dendrites - Nature Mice learning a neurofeedback brain–computer interface task show neuron-specific teaching signals in cortical dendrites, consistent with a vectorized solution for credit assignment in the brain.

This paper on how the brain may do gradient descent is very cool: www.nature.com/articles/s41...

Computational and Cognitive Neuroscience Summer School

Please repost: Applications for the CSHA Computational and Cognitive Neuroscience Summer School are open! Join us this summer in Suzhou for a fantastic and unique experience. Deadline April 1st: ccnss.net

Sounds a very exciting endeavour!

Quantitative Approaches to Behavior and Virtual Reality - CAJAL […]

You have until March 3rd to apply for the Cajal summer school on Quantitative Approaches to Behavior and VR at Champalimaud! Come surf and track animals with us 🏄🪰🐟🚶
cajal-training.org/on-site/quan...

Maybe we could try something like that will pm

Really sorry that you have to go through this again! Is there someway we @cosynemeeting.bsky.social can help?

Deadline in 3 days (Thursday 5th) to apply for a PhD with me and @ktsetsos.bsky.social at Trinity College Dublin in Cognitive Computational Neuroscience / neuro-AI. Please share!

Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻

Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems.

See below for + details and retweet 🙏

On research careers in academia and industry The epilogue to a series on Cognitive Science and AI

Should you go to academia or industry for research in AI or cognitive science? It's the most common question I get asked by PhD students, and I've written up some of my thoughts on the answer, as an epilogue to my research-focused series on these fields: infinitefaculty.substack.com/p/on-researc...

At @elife.bsky.social you can now include explainer videos with every figure. Like going to a seminar while you engage with the paper. First example here elifesciences.org/articles/106...

Click the arrows next to each figure to get a video of @mathiassablemeyer.bsky.social explaining it for you!

@kordinglab.bsky.social and I ran a summer school last year to help young profs (<5 yrs) in systems/comp neuro thrive.

compneurosci.com/Neuro4Pros/i...

It was great! Now we want to know if you'd be interested in participating if we did this again this year?

Let us know!

Dual neuromodulatory dynamics underlie birdsong learning - Nature Dopamine release in the basal ganglia of the zebra finch is driven by neurons associated with reinforcement learning and by cholinergic signalling, and tracks performance quality during long-term lear...

Proud to have contributed to @jiaxuanqi.bsky.social's masterpiece out @nature.com! She shows that dopamine transients track the learned quality of song during juvenile learning and that dopamine release is driven not just by VTA firing, but by a local cholinergic mechanism! (1/x)

Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️
The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA):
📜: arxiv.org/abs/2511.22828
💻: github.com/CMC-lab/fast...
I’ll be @cosynemeeting.bsky.social - happy to chat 😉

Yes, but that 'target' is sensory information right? So in practice this 'target' is new sensory data that the brain will try to predict/match. Of course that in practice we model these tasks things using SL, but this is an abstraction, in reality the brain doesn't have *direct* access to targets.

New paper led by wonder postdocs Francesca Greenstreet and @jessegeerts.bsky.social and @clopathlab.bsky.social trying to understand why –in the "what for" sense– there are multiple motor learning systems –supervised and RL-based– in the brain.

Check out Jesse's 🧵

www.biorxiv.org/content/10.6...

Distributed learning across fast and slow neural systems supports efficient motor adaptation Adaptation is a fundamental aspect of motor learning. Intelligent systems must adapt to perturbations in the environment while simultaneously maintaining stable memories. Classic work has argued that ...

Btw there is also related work by the group of Alex Cayco-Gajic:
www.biorxiv.org/content/10.1...

Cerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation - Nature Communications How the brain maintains a stable world model while swiftly adapting to environmental changes remains unclear. Here, the authors propose that the cerebellum drives cortical dynamics, enabling rapid tas...

The key difference seems to be more on the speed of learning. We show that its only when the cerebellum learns fast and the cortex slow (fixed) we can explain data. Thus cortex=stable world 'model' and the cerebellum=fast adapter. (2/2)

www.nature.com/articles/s41...

Thanks Juan! I do think that virtually all forms of learning in the brain are self-supervised (so unsupervised), as there never is never an explicit target in the brain. (1/2)