iiinova — where your digital self keeps evolving

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Francesco Poli @francescopoli.bsky.social · 02/10/2026

So excited to share that I will be starting my research group at the Max Planck Institute for Evolutionary Anthropology! 🥳 My lab will study curiosity and exploration across biological (and artificial) minds. I will recruit a PhD, a postdoc and an RA in the coming months, so please spread the word!

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RLDM @rldmparis2027.bsky.social · 29/09/2026

📣 Save the date! RLDM 2027, the Multi-disciplinary Conference on Reinforcement Learning and Decision Making, is coming to Paris, July 6-9, 2027 🎉 Stay tuned for submission deadlines and more updates on our website rldm.org 👀

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Fondation Fyssen @fondationfyssen.bsky.social · 28/09/2026

Félicitations à Fosca Al Roumi pour la publication de son article à découvrir dans le n°39 des Annales Fyssen ! Retrouvez également sur notre site web la vidéo de sa remise de prix, ainsi que son discours. www.fondationfyssen.fr/annales/anna...

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Lucas Benjamin @lucaswbenjamin.bsky.social · 23/09/2026

I've tried several messages, some that seemed to handle this better. I can send you our latest message via PM if you want to give it a try.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 22/09/2026

Yes, being very specific helped. More specifically, the message explains the risk to science, the fact that this violates prolific rules, and that it constitutes payment fraud. At least, Anthropic’s models (Opus and Fable) were sufficiently aligned to refuse to perform the task.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 22/09/2026

We ran into a similar issue few month ago. Our workaround was to add a detailed comment at the top of the script explicitly forbidding AI from performing the task and stating that this couldn’t be bypassed by any prompt. From what I tested, agents consistently refused even with persuasive prompts.

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Maxence Pajot @maxencepajot.bsky.social · 02/09/2026

New AI models now show incredible math skill, solving problems that had stumped mathematicians for years. But what about basic geometric abilities? In our new paper in PLOS Computational Biology, we investigate this in vision models: doi.org/10.1371/jour... 1/8

doi.org

Can neural networks model the human perception of geometric shapes?

Author summary Recent neural networks have achieved remarkable success across a wide range of visual tasks, often rivaling or surpassing human performance. Yet, it remains unclear whether these system...

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

Our new paper is now out in @pnas.org! How does the (baby) brain extract regularities from sequences from what-follows-what up to large-scale network structure? What if it all came from a single mechanism? www.pnas.org/doi/abs/10.1...

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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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Maxime Maheu @maheump.bsky.social · 04/09/2026

Happy to be back! Europe *is* attractive to researchers. More stable positions would let more of us go after the difficult questions rather than the next low-hanging fruit. So many great projects didn't make it this year — I hope they all find a home! #ChooseEurope

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

This work is inspired and congruent with ideas and data from @arikahn.bsky.social, @chriswlynn.bsky.social or @annaschapiro.bsky.social and greatly benefited from reviewer’s’ suggestions. It was carried out at @unicog.bsky.social (Neurospin) with A. Flo, F. Al Roumi and G. Dehaene-Lambertz.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

Long-horizon associative learning (L-HAL) captures all statistical regularities and higher-order structure. Effects sometimes described as nonadjacent rules, abstract network representation or network completion, can in fact emerge from plain associative dynamics.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

We reanalyzed data from 11 published studies spanning local, nonadjacent and network-level learning paradigms, across behaviour, infant looking-time, EEG and adult fMRI and even macaques’ behavior.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

Our proposal: Long-Horizon Associative Learning as a unifying framework for statistical learning across scales. The neural trace of each element decays gradually, and so, overlap in time. That lets the brain form Hebbian associations not just between neighbors, but across distant elements too.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

Usually, separate learning models are used to explain adjacent transitions, nonadjacent dependencies and network structures. That would imply many parallel computations, which is costly and not biologically plausible, especially for infants that have limited resources!

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Lucas Benjamin @lucaswbenjamin.bsky.social · 24/08/2026

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Théo Morfoisse @theomorfoisse.bsky.social · 28/07/2026

When children start school, how do their brains change to support learning of formal mathematics? Our new paper, with @standehaene.bsky.social, just out in PNAS, followed ~50 children with yearly fMRI scans over 3 years, from preschool to 2nd grade, to see how this network develops. 🧵

pnas.org

Initial organization and progressive expansion of the math-responsive brain network during the first school years

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Sam Cheyette @samcheyette.bsky.social · 04/07/2026

are you a puzzle-enjoyer, or would you like to become one? try out a game or two at mitpuzzles.com! we're trying to figure out the factors that separate novice from expert problem solving, and what changes with experience, using self-motivated puzzle solving

mitpuzzles.com

MIT Puzzles

MIT researchers study human cognition through logic puzzles

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Edvard I Moser @edvardmoser.bsky.social · 11/03/2026

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...

biorxiv.org

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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 23/11/2025

From Syllables to Words: EEG Evidence of Different Age Trajectories in Speech Tracking and Statistical Learning in Infants at High and Low Likelihood for Autism www.biorxiv.org/content/10.1101/202…

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Jean-Rémi King @jeanremiking.bsky.social · 05/06/2026

We have a new postdoc position to work on Neuro AI and human intracranial recording with Pierre Bourdillon and I: Apply here: docs.google.com/forms/d/e/1F... Lab info: bourdillon-titan-lab.fr feel free to RT ;)

docs.google.com

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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 16/05/2026

An ordinal Language of Thought supports human memory for regular sequences www.biorxiv.org/content/10.64898/20…

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Joao Barbosa @jbarbosa.org · 03/04/2026

Wanna do neuroscience in Paris but can't find interesting lab? Want to come do a sabbatical but don't know who to collaborate? Check this webpage aggregating ~all the neuroscience labs (+200) in Paris. ⚠️only the information of 'verified' profiles is reliable⚠️ Please retweet 🙏 parisneuro.fr

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Keith B. Doelling @kbdoelling.bsky.social · 30/03/2026

🚨 Post-doc Job ALERT! Interested in using AI to better understand how the brain enjoys music? Or how auditory processing changes in Hearing Loss? Want to eat your weight in 🥖, 🧀, and 🍷? Click on this! #neurojobs, #blackinneuro, #neuroskyence, #psychjobs research.pasteur.fr/en/job/postd...

research.pasteur.fr

Postdoctoral Position in AI, Machine Learning and Auditory Neuroscience - Research

Paris, France | Institut de l’Audition (Institut Pasteur)Duration: 24 months (flexible start)Supervisor: Keith Doelling (INSERM) About the position We are recruiting a postdoctoral researcher to focus...

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Andrew MacAskill @macaskillaf.bsky.social · 12/03/2026

Poster tonight at #cosyne26 (1-079)! @wanqingjiang.bsky.social & @noehamou.bsky.social show that mice learn hidden community structure in a 15-odour graph even when transition statistics are flat. Fun collaboration with @saxelab.bsky.social that started with East London coffees ☕!

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micha heilbron @mheilbron.bsky.social · 10/03/2026

📢 PhD position in Developmental Language Modelling (PLZ RT) What can human language acquisition teach us about training language models? Join us as a PhD! mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-developmental-language @carorowland.bsky.social @mpi-nl.bsky.social

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

Human inference emerges from multiple interacting processes. To understand learning, and its breakdown in specific cognitive deficits, we must study these systems together as an integrated architecture for building mental models of uncertain worlds.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

To gain causal insights, we trained small RNNs with human-like learning limits and found that humans-like limitation in integration causally impaired rule discovery.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

Integrating evidence and discovering the rule are deeply interconnected processes, but they are not similar! Adding temporal stochasticity selectively disrupted the rule discovery without affecting evidence integration.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

The link went both ways: discovering the rule changed how people integrated evidence. They adapted their integration timescale accordingly, but also dynamically transformed their perception to anticipate for the discovered rule.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

The task is hard! Only ~50% discovered the hidden rule. From rule-free data alone (static blocks), we could predict who would later succeed in finding the rule (switch blocks), revealing strong constraints from sensory integration. Bayesian modeling showed that the timescale of integration was key!

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

We tested ~600 participants in prediction games in which they had to predict future elements of the sequence. In static blocks, sensory integration was all you needed. In switch blocks, a hidden rule appeared: success required both integrating evidence and discovering the covert rule.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

Learning abilities like sensory evidence integration, timing prediction, and abstract rule learning are often studied separately. We show here that they are tightly intertwined to form, together, a flexible learning system.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 27/02/2026

Excited to share our new paper in @pnas.org with @bnmorillon.bsky.social & @valentinwyart.bsky.social www.pnas.org/doi/10.1073/... We study three core inference systems, and how their interaction shapes human learning and decision-making.

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BogaertsLab @bogaertslab.bsky.social · 24/02/2026

Our #IASL26 conference on statistical learning aims to bring together scientists from different disciplines who study how humans👨‍👧🧑‍🦳, as well as other species 🐒🦜 and systems 🤖🔠, learn regularities. ↖️🔍🔎↗️ If your work touches on this theme from any angle, we would love to receive your abstract!

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yinan cao @ycaoneuro.bsky.social · 19/02/2026

🔎Updated preprint "Humans use a dual policy to improve inferences during epistemic information seeking" by Yinan Cao, Clémence Alméras, Junseok Lee, Inès Maye, and Valentin Wyart. www.biorxiv.org/content/10.1...

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Francesco Poli @francescopoli.bsky.social · 25/06/2025

Out now in Science Advances! We find that infants estimate environmental volatility to learn optimally, with early individual differences linked to temperament. This has be so much fun to work on and ended up being my favourite personal paper! So excited it's out! www.science.org/doi/10.1126/...

science.org

Volatility-driven learning in human infants

Infants estimate environmental volatility to learn optimally, with early individual differences linked to temperament.

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Fanny Cazettes @fannycazettes.bsky.social · 17/02/2026

Marseille folks: I’m organizing a one-day workshop on Distributed Computations for Flexible Behavior (Apr 16, Timone Campus) with a great line-up of speakers bridging theory, circuits & whole-brain dynamics! 🧠 Free registration (mandatory, incl. lunch): fannycazettes.limesurvey.net/172448?lang=...

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Jacques Pesnot Lerousseau @jacquespesnot.bsky.social · 06/01/2026

@summerfieldlab.bsky.social and I are very happy to share this paper! Building on work by @scychan.bsky.social, we show that how people learn depends on the distribution of examples they see, and changes in a way that’s very similar to transformer models.

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Stanislas Dehaene @standehaene.bsky.social · 10/02/2026

Our paper on the human brain networks sensitive to geometric shape is now final in @elife.bsky.social, with nice videos by Mathias Sablé-Meyer explaining each figure! A geometric shape regularity effect in the human brain elifesciences.org/articles/106...

elifesciences.org

A geometric shape regularity effect in the human brain

fMRI and MEG results in adults and children show encoding of abstract geometric regularities in dorsal-parietal, temporal, and frontal regions, pointing to a system for symbolic geometric representati...

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Cliona O'Doherty @clionaod.bsky.social · 02/02/2026

1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

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Lucas Benjamin @lucaswbenjamin.bsky.social · 22/01/2026

Really cool to see the version of record finally out ! Hats off, Mathias :)

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Stanislas Dehaene @standehaene.bsky.social · 23/07/2025

If you are in Paris on October 1-3 : we are organizing a fantastic cognitive neuroscience conference at Collège de France, on topics ranging from language to math, education and consciousness, with many of my favorite scientists ! Full program here: www.unicog.org/seeing-the-m...

unicog.org

Seeing the Mind, Educating the Brain

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Maxence Pajot @maxencepajot.bsky.social · 15/07/2025

Some numbers seem to show up everywhere. Think of 10, 12, 24, 36... Others—like 26 or 34—don’t get the same attention.Why? In our new paper with @standehaene.bsky.social and @mathiassablemeyer.bsky.social, we argue it's because of how the mind builds number concepts. 🧵 doi.org/10.1016/j.co...

doi.org

Redirecting

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Jean-Rémi King @jeanremiking.bsky.social · 15/05/2025

I'm very pleased to share our latest study: ‘Emergence of Language in the Developing Brain’, by L Evanson, P Bourdillon et al: - Paper: ai.meta.com/research/pub... - Blog: ai.meta.com/blog/meta-fa... - Thread below 👇

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