Rui Ponte Costa

@somnirons.bsky.social

Computational neuroscientist bringing machine and neural learning closer together [Oxford NeuroAI] @ox.ac.uk @oxforddpag.bsky.social 🇵🇹🇪🇺🇬🇧🌳 neuralml.github.io www.medsci.ox.ac.uk/neuroai

Re-post 🔁 is appreciated! #neurojobs: we’re looking for new team members to join us @cmc-unit.bsky.social!
If you’d like to study decision-making in naturalistic & embodied contexts (integrating RL, RNNs & cross-species data analysis) in a cool & collaborative research environment 😎, check 👇

Roxana Zeraati@roxana-zeraati.bsky.social · 2w ago

Link to ads: Postdoc position: nextcloud.tuebingen.mpg.de/index.php/s/... PhD position: nextcloud.tuebingen.mpg.de/index.php/s/... We’re also both at @bernsteinneuro.bsky.social and happy to chat!

I’m on the faculty job market this fall! 🐦🧠 I’m an NIH K99/R00 awardee studying how the brain learns complex skills, using birdsong to connect molecules, synapses, circuits, behavior & computation. Know of a search where I might fit? Please send it my way & share!

Drew Schreiner, Ph.D. | Neuroscience of Learning

I use birdsong to understand how the brain learns complex skills across molecules, synapses, circuits, behavior, and computation. On the 2026–27 faculty job market.

drewschreiner.github.io

The cortex and cerebellum split the labor: the cortex provides a stable, general-purpose movement blueprint, while the cerebellum reorients that same blueprint differently for each context Granule cells reorient cortical trajectories to separate contexts www.nature.com/articles/s41... #neuroscience

Granule cells reorient cortical trajectories to separate contexts - Nature

Simultaneous imaging of premotor cortex and cerebellar granule cells in mice learning two skills in parallel shows that trajectories generalize in cortex but coherently reorient apart in granule cells...

nature.com

Totally agree with this perspective. We need to consider how intelligence arises in the first place if we want to reproduce it — learning principles are critical.

Vlad Ayzenberg@vayzenb.bsky.social · 3mo ago

Excited to share our review in @cp-neuron.bsky.social with @lauriebayet.bsky.social and @mickbonner.bsky.social! We describe how implementing principles from child development can advance the mechanistic plausibility and capacities of AI models We packed A LOT into this review, here's a quick 🧵

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.

This has been a super-fun project. Can modern LLMs/LRMs learnto play simple video-games from scratch? Can we outperform existing models of these tasks when predicting fMRI data? In the words of @botoscsabi.bsky.social , "the short answer is yes and yes". If you want the long answer, see below :-)

Botos Csabi@botoscsabi.bsky.social · 5mo ago

Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...

Super proud to have contributed to this amazing team effort, led by @sreejan.bsky.social and @botoscsabi.bsky.social! We asked: Which AI models learn to play video games like humans, comparing both behavior and internal representations. The answer surprised us! Check out our paper and post below

Botos Csabi@botoscsabi.bsky.social · 5mo ago

Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...