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Antonino Greco

@agreco.bsky.social
2.2K followers 386 following 393 posts

Computational Cognitive Scientist 🧠🤖 • NeuroAI, Predictive Coding, RL & Deep Learning, Complex Systems • Postdoc at @siegellab.bsky.social, @unituebingen.bsky.social • Husband & Dad 🎓 scholar.google.com/citations?hl=en&…

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Reposted by Antonino Greco
Jan van Gemert @jvgemert.bsky.social · 14/10/2026
I really enjoy finding gaps in our understanding of text-book deep learning. The RNN Homunculus: Long-range input vanishes RNN gradients. Gates (GRU, LSTM) help, but gates are themselves an RNN. Ie: gates are not sufficient. We need short-range data to learn gates first. arxiv.org/abs/2610.14279
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Ann Huang @annhuang42.bsky.social · 14/10/2026
How much representational diversity exists around a trained network? A lot, it turns out! Moving a ViT’s weights by 1.3% while preserving its predictions, its representations end up less similar to the original than a random-init ViT’s ‼️ New paper: Hessian Null Space Continuation (HNC) 💫🧵 (1/12)
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Ethan Mollick @emollick.bsky.social · 13/10/2026
GPT-4 was the undisputed best model in the world for a full year and we all debated whether anyone could catch up or if OpenAI had some secret formula that nobody else knew about. Now there are are 19 AI models that can run on a modern smartphone that are better than GPT-4!
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Antonino Greco @agreco.bsky.social · 12/10/2026
By "they" you mean the authors or their agents? 😅
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Antonino Greco @agreco.bsky.social · 12/10/2026
😱
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David G. Clark @david-g-clark.bsky.social · 10/10/2026
Some exciting new work: arxiv.org/abs/2610.12426 On X, I shared some explanation and broader thoughts: x.com/d_g_clark/st... Additionally, an X user made an extremely good 3Blue1Brown-style explainer video. Each step is described accurately and beautifully: x.com/nachilos_/st...
arxiv.org
Lyapunov spectrum of random neural networks
The Lyapunov spectrum of a nonlinear recurrent neural network with random asymmetric couplings is calculated in the limit $N\to\infty$. The calculation is based on a finite-$N$ identity that expresses...
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Neuron @cp-neuron.bsky.social · 09/10/2026
Neuron continues its three-part series on neuroscience and AI with “Neuroscience and AI: Emerging Synergies”. Explore how brains and AI are converging, from language models and scientific discovery to more brain-like AI systems. The synergy deepens. www.cell.com/neuron/issue...
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Roxana Zeraati @roxana-zeraati.bsky.social · 08/10/2026
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 👇
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Friedemann Zenke @fzenke.bsky.social · 08/10/2026
1/ Why does predicting in latent space (JEPA, CPC, SimCLR...) work so well on messy data, with changing lighting, camera angles, and busy backgrounds? The usual answer: it can ignore nuisance. But that answer holds a conundrum.
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Josh McDermott @joshhmcdermott.bsky.social · 07/10/2026
New work by @msaddler.bsky.social with a striking finding: a wide range of human perceptual thresholds are replicated in a neural network optimized for real-world auditory tasks. Suggests that thresholds are determined by linear separability in task-optimized representations.
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Steve Fleming @smfleming.bsky.social · 05/10/2026
Excited to be launching our new PhD program in Minds and Machines at UCL with co-Directors Tali Sharot and @nadinedijkstra.bsky.social To apply, find out more here: www.ucl.ac.uk/brain-scienc... Our launch event is on Nov 10th, with a cracking lineup of speakers: luma.com/cikzcth0
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Antonino Greco @agreco.bsky.social · 02/10/2026
Congrats!
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 30/09/2026
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
nature.com
Scalable decision-making for games of imperfect information - Nature
Ataraxos, an AI for the board wargame Stratego, establishes a design pattern for reinforcement learning and search that is effective under large amounts of hidden information, a longstanding desiderat...
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hardmaru @hardmaru.bsky.social · 28/09/2026
Our Neuroevolution textbook is finally in print! Free online edition: neuroevolutionbook.com Pre-order: a.co/d/06DpkH9h I am incredibly grateful to my co-authors Sebastian Risi, Yujin Tang, and Risto Miikkulainen for making this happen. Thread:
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Torben Ott @torbenottlab.org · 02/09/2026
#Psilocybin🍄 shifts visual cortex dynamics towards a state of surprise! Thrilled to share our work w/ OpenScope at @alleninstitute.org lead by postdoc @roberto-defilippo.bsky.social. We combined visual change detection w/ Neuropixels recordings in mice to uncover how psilocybin changes circuits 1/
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Martin Hebart @martinhebart.bsky.social · 25/09/2026
What is the nature of universal representations in AI models, and what determines whether they emerge? Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results. arxiv.org/abs/2605.13675 🧵
arxiv.org
Characterizing Universal Object Representations Across Vision Models
Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown is which visual prop...
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Blake Richards @tyrellturing.bsky.social · 22/09/2026
My hot take: We were *already* in a state of being overwhelmed by reviewing grants, scholarships, and papers prior to generative AI. Now it's not even close to tenable. The time to start rethinking the entire peer review model in #academia was 10 years ago. Hopefully this will force it!
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Ryan Boyd @ryanboyd.bsky.social · 21/09/2026
NEW BRAIN DROPPED
med.stanford.edu
Human brain is two separate organs, Stanford Medicine-led research finds
Stanford Health Care delivers the highest levels of care and compassion. SHC treats cancer, heart disease, brain disorders, primary care issues, and many more.
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Mitchell Ostrow @neurostrow.bsky.social · 21/09/2026
Very excited to announce our most recent paper! TL;DR we made our prior work on comparing dynamics (DSA) much faster and generalizable to diverse data domains and problem settings (1/)
biorxiv.org
A metric for comparing complex systems by their dynamics
Comparisons are fundamental to science: experiment against model, one organism against another, a system against itself across time. Because many systems, from brains to climate, are characterized by ...
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Rebecca Saxe @rebeccasaxe.bsky.social · 17/09/2026
I have a question about the future of metrics for hiring and promoting faculty in science. Academic journal articles have been our currency for a long time, but are under extreme & mounting pressure. Is any dept or field already using a better metric *for hiring and promoting faculty*?
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Tomer Ullman @tomerullman.bsky.social · 16/09/2026
video games should include Hofstadter's Badge, which can be earned for earning Hofstadter's Badge
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Dan Goodman @neural-reckoning.org · 13/09/2026
If you really think that AI running out of control is a dangerous possibility, then make tech company CEOs legally liable for illegal actions taken by their company's agents.
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Rhodri Cusack @rhodricusack.bsky.social · 10/09/2026
We're hiring! 2 postdocs + 3 PhD students to join InfantNeuroAI at Trinity College Dublin: awake infant fMRI & OPM-MEG, plus computational models of how infants learn. Aims: understand infant visual cognition, infant neuroimaging methods, more energy-efficient learning 🧵 www.cusacklab.org/vacancies
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Grace Lindsay @neurograce.bsky.social · 30/08/2026
This paper shows how measures and constructs in psychology get introduced but rarely reused. Would love to see a similar analysis done on methods of analyzing neural data. A Fragmented Field: Construct and Measure Proliferation in Psychology" Anvari et al., 2025 journals.sagepub.com/doi/10.1177/...
Treemap plots for (top) personality and social psychology and (bottom) clinical and health psychology. Each tile shows one measure, labeled with its acronym if it fits on the tile. Larger tiles indicate that the measure has been used a higher number of times; the many smaller tiles show fragmentation.
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Antonino Greco @agreco.bsky.social · 29/08/2026
On the OOD side, we recently showed why testing outside the training distribution is crucial for evaluating human–model alignment, using deep neural network models of sound localization. Models that look similarly aligned in-distribution can diverge when pushed OOD. www.biorxiv.org/content/10.1...
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Antonino Greco @agreco.bsky.social · 29/08/2026
On stimulus generation, we developed the STST algorithm: an optimization framework for generating video stimuli and selectively controlling their spatial and temporal representations. An exciting extension would be to use STST for generating controversial stimuli www.nature.com/articles/s43...
nature.com
A spatiotemporal style transfer algorithm for dynamic visual stimulus generation - Nature Computational Science
The spatiotemporal style transfer (STST) algorithm enables video generation by selectively manipulating the spatial and temporal features of natural videos, fostering vision science research in both b...
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Antonino Greco @agreco.bsky.social · 29/08/2026
Super cool review on model identifiability in #NeuroAI! Generating “controversial” stimuli and using out-of-distribution (OOD) tests to reveal differences that standard benchmarks may hide. We’ve explored both directions in our recent work, two papers worth highlighting 🧵👇
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Antonino Greco @agreco.bsky.social · 29/08/2026
Terrific paper on the concept of information, so central to modern science and spanning some of our most profound theories and deepest mysteries, from the universe itself to consciousness and intelligence! www.nature.com/articles/s42... 👇👇👇
nature.com
Four faces of information in natural systems - Nature Reviews Physics
This Perspective proposes a pluralistic understanding of ‘information’ that reflects how this notion is used in natural sciences today. It distinguishes engineering, statistical, thermodynamic and ont...
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Matt Henderson @matthen.com · 26/08/2026
To tell if a maze is solvable, just hang it by its corners If it tears into pieces, you’ve found a solution
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Adeel Razi @adeelrazi.bsky.social · 19/08/2026
Our new paper in @natureportfolio.nature.com. Psychedelics don’t simply disorder the brain. We found hidden, context-sensitive organisation beneath the apparent chaos -- strongest in people reporting more positive, profound experiences and a reduced sense of separation from the world. 🧵👇
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Antonino Greco @agreco.bsky.social · 19/08/2026
If you use a computer to analyze your brain data, then you're doing ✨ computational neuroscience ✨ If you use Claude Code to vibe code a linear regression with cross validation instead of using excel for statistical analysis, then you're working at the ✨ frontiers of computational modeling ✨
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Sam Nastase @samnastase.bsky.social · 18/08/2026
New perspective piece out in @cp-neuron.bsky.social with Zaid Zada, @adelegoldberg.bsky.social, and Uri Hasson! We try to articulate some of our excitement about LLMs and discuss what kinds of insights they might provide into the neural computations supporting natural language in the human brain.
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Reinforcement Learning Conference @rl-conference.bsky.social · 16/08/2026
What an incredible way to kick off RLC26! The first keynote by Marc Bellemare was amazing with a fantastic start with “Stability & Scale in Experimental RL”! Excited for the next few days? -w/ @eugenevinitsky.bsky.social @glenberseth.bsky.social @sologen.bsky.social @audurand.bsky.social
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CogCompNeuro @cogcompneuro.bsky.social · 06/08/2026
This is a wrap for #CCN2026! We look forward to meet again in Edinburgh next year!
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Charley Wu @thecharleywu.bsky.social · 05/08/2026
🚨Now out in Science Advances @science.org: #Parkinson's patients off dopamine medication (PD-) explore too much and exploit too little. Modeling shows they overvalue uncertainty, not that they choose randomly. On levodopa (PD+) they become comparable to controls www.science.org/doi/10.1126/... 🧵👇
science.org
Dopamine depletion in Parkinson’s increases directed but not random exploration
Levodopa restores the balance between exploration and exploitation in Parkinson’s disease.
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𝕯𝖆𝖓🍂🎃🕸️ @arepublic86.bsky.social · 03/08/2026
The next time a climate change denier comes at you with that excuse:
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Minds, Machines, and Brains (MMB) @mmb-journal.bsky.social · 02/08/2026
Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb
direct.mit.edu
Minds, Machines, and Brains | MIT Press
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Harrison Ritz @hritz.bsky.social · 28/07/2026
Looking forward to #CCN2026 next week! On Monday I’m running a keynote & tutorial with @pessoabrain.bsky.social on whole-brain modelling using probabilistic state space models 💫 Materials coming soon: 2026.ccneuro.org/k-and-t-lang...
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Deniz Vatansever @neurodenizen.bsky.social · 27/07/2026
💡What makes some ideas spring to mind while others we have to reach for? We built an #NLP #fMRI #MachineLearning framework to find out. New study from our lab, led by @kaixiangzhuang.bsky.social out in @natcomms.nature.com 🧵 🔗 www.nature.com/articles/s41... #CognitiveNeuroscience #Fudan #ISTBI
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Francesco Poli @francescopoli.bsky.social · 24/07/2026
I've always been puzzled by how a sample size of 2 would be completely unacceptable for empirical work, but the norm for peer-reviews... Is 2 significantly better than 0? Has this been tested?
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Melanie Mitchell @melaniemitchell.bsky.social · 22/07/2026
The ultimate tldr on the OpenAI "rogue model" hacking incident 😅 (h/t @linege1 on X) But it would be useful to know the prompts OpenAI gave to the model....
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Mike Levin @drmichaellevin.bsky.social · 23/07/2026
Final version: @bhartl.bsky.social, Leo Pio-Lopez, Chris Fields www.sciencedirect.com/science/arti... Remapping and navigation of an embedding space via error minimization: A fundamental organizational principle of cognition in natural and artificial systems
sciencedirect.com
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Antonino Greco @agreco.bsky.social · 22/07/2026
cool review on a developmental approach to #NeuroAI Turns out the best benchmark might just be our kids 👶
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Neuron @cp-neuron.bsky.social · 22/07/2026
dlvr.it
Advancing NeuroAI through developmental alignment
Ayzenberg et al. describe how principles from child development can be used to improve the capacities and biological plausibility of AI models. These principles can be incorporated into every stage of the modeling process, from the architectures to the benchmarks.
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Giovanni Saraceno @giovannisaraceno.bsky.social · 21/07/2026
I am excited to share the new preprint with @antcalcagni.bsky.social “Towards a Geometric Characterization of Multiverse Analysis” arxiv.org/abs/2607.11345 #Statistics #OpenScience #SensitivityAnalysis 🧵👇
arxiv.org
Towards a Geometric Characterization of Multiverse Analysis
Multiverse analysis makes explicit how empirical conclusions depend on alternative, defensible analytical specifications. Standard approaches usually generate the multiverse first and then summarize i...
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Charley Wu @thecharleywu.bsky.social · 21/07/2026
Can't wait for #cogsci2026 in Rio 🇧🇷! Check out some of the exciting new work this year by the hmc-lab.com and collaborators. Sadly, @davidnagy.bsky.social won't be attending due to illness, so I'll be subbing in to help out with the framing-the-problem.github.io/cogsci2026.h... workshop.
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Serge Dumoulin @sergedumoulin.net · 21/07/2026
👁️🧠🧪 Vision takes time. But how does visual information flow through the human brain? Our new PLOS Computational Biology paper uses population receptive field (pRF) modelling to bring the spatial precision of fMRI to MEG, revealing the temporal dynamics of visual areas. 📖 doi.org/10.1371/jour...
doi.org
Non-invasive mapping of the temporal processing hierarchy in the human visual cortex
Author summary Vision doesn’t happen instantaneously, but unfolds over time. While we understand a lot about how the brain processes visual space, understanding how the brain processes information ove...
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Russ Poldrack @russpoldrack.org · 18/07/2026
I've posted a preprint of a philosophical paper I've written on the relationships between understanding, prediction, and compression, based on a talk I gave at SPAN 2025. Now in press at Synthese. philarchive.org/archive/POLUPA
philarchive.org
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Marcelo Rinesi @marcelorinesi.bsky.social · 17/07/2026
Interesting! Moving from "*the* model" to "a handful of" to "the space of" strains culture, training, and political assumptions in science and industry but IMHO it's how we can best turn increased computational power into better research. @giovannisaraceno.bsky.social @antcalcagni.bsky.social
arxiv.org
Towards a Geometric Characterization of Multiverse Analysis
Multiverse analysis makes explicit how empirical conclusions depend on alternative, defensible analytical specifications. Standard approaches usually generate the multiverse first and then summarize…
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Andres Canales-Johnson @canalesjohnson.bsky.social · 16/07/2026
Happy to share our new pre-print "Attention reshapes the information dynamics of thalamic and cortical prediction-error learning" led by the great Juho Äijälä, Thread below👇
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