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@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

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 · 2w 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 · 3mo 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 · 3mo 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...

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

🧠 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

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.

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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!

Konstantinos Tsetsos@ktsetsos.bsky.social · 7mo ago

🎓Fully-funded PhD studentship in Computational Cognitive Neuroscience!!! Join @seanfw.bsky.social and myself at @tcddublin.bsky.social for a PhD at the intersection of cutting-edge cognitive neuroscience (OPM-MEG) and neuro-AI. 🗓 Deadline: 5 Feb 2026 #neurojobs #neuroscience #compneuro

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 🙏

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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)

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...

nature.com