Happy to be on this new paper: "Identifying indicators of consciousness in AI systems" - www.sciencedirect.com/science/arti.... The paper expands on some of the methodological points made in the Butlin et al. 2023 report on AI Consciousness.

📣 BIG NEWS EVERYONE. I am so excited to announce… 🎉 I’m moving to University College London @ucl.ac.uk to join the Experimental Psychology department in @uclpals.bsky.social! 🎉 The big move happens in spring/summer. So I’m already exploring recruiting staff & students at UCL for fall 2026!

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

This was a fabulous, once in a lifetime colloquium -- and now the videos are available in high quality on the College de France web site @college-de-france.fr www.college-de-france.fr/fr/agenda/co... With talks by Edvard Moser, Nancy Kanwisher, Liz Spelke, Manuela Piazza, Luca Bonatti and more!

Excited to share my essay with @carrot0817.bsky.social, Kaia Gao on the representational substrate of world-reasoning in both humans and machines has been accepted to the SpaVLE Workshop at #NeurIPS2025✨ a thread (1/n)

I’m not saying we should ignore the biological details. I think the details matter a lot for implementing the right functions. But if you think biology matters beyond that, just give me a *biological* property that reliably distinguishes conscious from unconscious states.

"Intuitions of mathematical curves in young children's drawings" In this new paper from the lab, Lorenzo Ciccione, Marie Lubineau, Theo Morfoisse and I show that 5 and 6 year olds already possess intuitions of linearity, curvature, period and compositionality. www.sciencedirect.com/science/arti...

My commentary on @anilseth.bsky.social's BBS article: philpapers.org/rec/MICBOF. We should bet on functionalism.

After five years of confused staring at Greek letters, it is my absolute pleasure to finally share our (with @smfleming.bsky.social) computational model of mental imagery and reality monitoring: Perceptual Reality Monitoring as Higher-Order inference on Sensory Precision ✨ osf.io/preprints/ps...

A ✨bittersweet✨ moment – after 5 years at UCL, my final first-author project with @smfleming.bsky.social is ready to read as a preprint! 🥲

#CoreCognition #LLM #multimodal #GrowAI We spent 3 years to curate 1503 classic experiments spanning 12 core concepts in human cognitive development and evaluated on 230 MLLMs with 11 different prompts for 5 times to get over 3.8 millions inference data points. A thread (1/n) - #ICML2025 ✅

A non-value-based system in the brain automates decision-making and frees up cognitive resources for other tasks, a new study in mice suggests. By Holly Barker #neuroskyence www.thetransmitter.org/neurobiology...

super excited that the first paper from my PhD is now out! we develop a "philosophical toolkit" for computational cognitive modeling & use it to conceptually re-analyze a long-standing debate about evidence accumulation models of decision making 🧠📈 onlinelibrary.wiley.com/doi/full/10....

Hanbei Zhou, a @jhu.edu undergraduate, giving a talk at @vssmtg.bsky.social! #VSS2025

It's @vssmtg.bsky.social! So excited to share this year's projects from the lab, including brand new research directions and some deep dives on foundational issues. More info @ perception.jhu.edu/vss/. See you on the 🏖! #VSS2025

a possibility is *very* different from scientific evidence. the claim to having scientific evidence means the burden of proof is on the claimer to eliminate alternative explanations sure, if u breach that common standard in science u can raise possibilities for all sorts of stuff out of data cf -

Very happy to announce that our paper “Sensory Horizons and the Functions of Conscious Vision” is now out as a target article in BBS!! @smfleming.bsky.social and I present a new theory of the evolution and functions of visual consciousness. Article here: doi.org/10.1017/S014.... A (long) thread 🧵

Vision-Language Models are not yet pragmatically optimal. We identify 3 key failures of pragmatic competence in referring expression generation with VLMs: (1) cannot uniquely refer to the referent, (2) include excessive or irrelevant information, and (3) misalign with human pragmatic preferences.