Lucas Benjamin

@lucaswbenjamin.bsky.social

Postdoc in cognitive neuroscience on sequential learning and decision making (Aix Marseille University & ENS Paris). Previously, PhD with G. Dehaene-Lambertz on sequence learning in infants and adults. M/EEG, behaviour and modelling.

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

Bild

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!

Morten H. Christiansen@mh-christiansen.bsky.social · 5mo ago

📣 You only have one week left to submit your 200-word abstract for the 2026 installment of the International Conference on Interdisciplinary Advances in Statistical Learning (#StatLearnBCBL), which will take place in San Sebastian, Spain June 10-12 #IASL26 www.bcbl.eu/events/stati...

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/...

Volatility-driven learning in human infants

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

science.org

@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.

Nature Human Behaviour@nathumbehav.nature.com · 8mo ago

In this Article, @jacquespesnot.bsky.social and @summerfieldlab.bsky.social compare humans to transformer networks in a task designed to distinguish "in-weights" and "in-context" learning processes.

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.