New work w/ Zach Kelso and @madeleinecsnyder.bsky.social
www.biorxiv.org/content/10.6...
Our negative results on classical conditioning in planarian flatworms. This was surprising, given the long history of work (including sensational findings of memory transfer and retention through decapitation).
𝐍𝐞𝐰 𝐏𝐲𝐇𝐆𝐅 𝐫𝐞𝐥𝐞𝐚𝐬𝐞 (𝐯0.2.10), featuring an early draft of local-only deep predictive coding networks.
Get prospective configuration-like behaviours for a fraction of the compute cost.
Work in progress...
📦Code: github.com/Computationa...
📓Tutorial: computationalpsychiatry.github.io/pyhgf/notebo...
trying to learn more about Approximate Bayesian Computation, to fit less tractable models (say ABMs, or rule-based categorization systems) to data; or fit models to aggregate data reported in other papers. but so many approaches out there! what are your favorite tutorials/papers?
Yeah I also was under the impression that sinulation-based inference (SBI, which Sylvain linked to) with deep networks to amortize the inference was the new alternative to ABC. The normalizing flows stuff looks cool too! I think SBI is being used in the joint neuronal/cognitive modelling world too
After one week at the Computational Neurophenomenology Cabin Workshop, I can say it was one of the most inspiring experience of my PhD journey - both for the quality of the work & discussions, and for the amazing people I got to meet there. 🏔️
Would 100% recommend it- huge thanks to the organisers. 🤩
Registration is open for the Computational Psychiatry Course in Zürich!
www.eventzilla.net/e/computatio...
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Warm recommendations for the MESEC events !
Same for me - keeping the suspense high !
Something to think about! I can imagine that there could be similar logical structures for quite a few neural correlated targets. Cool work :)
Maybe a first step would be to make a small how-to blogpost or something, just describing the algorithm/math that the analysis would implement (without how it was developed for example) - that would make it accessible for someone to test out themselves !
In general, I suppose there arguably will always be some physical or neural process deciding whether a conscious state is entered - won't there in principle always be a confounder?
This might of course be a stupid point with an obvious answer that I happen to not have run into.
I suppose since the stimulus is identical, something else must then be different neurally and cognitively which makes the difference between it being experienced or not (e.g., the strength of the prior or expectation). This then becomes a confound instead, right ?
Also, do you suppose that the same method would work for other neural correlated questions (say, neural correlated of decision-making, attention or belief updates)? Because then this method would be useful far beyond consciousness science, where contrastive methods are still standard
I guess what we'd need is a good software tool so we can try out these methods on simulated and real data !
Any intentions on making something like that? Or at least on doing a simulation study?
🔔 APPLICATIONS ARE OPEN
🧠 Already fomo'ing the Winterschool ? At the Workshop, you can collectively explore the interplay between mental imagery and consciousness research !
May 30 - June 7
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It turns out my piece made it all the way to the Top 10 of 2025, despite an admittedly late start to the game in... November. You should follow the crowd on this one and read it!
Guillaume, a friend, is hiring a PhD student in Dublin, for studying network approaches to fostering collaboration :)
www.tudublin.ie/research-inn...
Do you want to help develop new theories for systems that adapt, evolve, and interact?
Applications are open for SFI’s 2026 UCR program, a fully funded, 10-week experience for undergraduates, offering mentorship, seminars, and project development.
Apply by Jan 14, 2026
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Lilian is a wonderful friend and researcher, and I am not in doubt she will be a great supervisor and PI. Warm recommendations - and do reach out if I can be helpful somehow :)
🥁Thrilled to announce that Prof. Anil Seth will chair the MESEC Winter School 2026 in Turkey🥁 @anilseth.bsky.social
One unforgettable week exploring consciousness with one of the most pioneering thinkers in the field 🌟🧠 🎓
Applications open soon — stay tuned! 👀
🔗 mesec.co/event/winter...
🎶🛏️ Call for contributions!
The 1st International Conference on Music and Sleep is now open for abstract submissions (poster & oral).
Deadline: Dec 1, 2025.
More info 👉 confmussleep.au.dk
#confmussleep #musicscience
Honored to have won TWO Advancing Cultural Evolution Course Design Awards for my courses “Cultural Evolution” and “Modeling Social Behavior”.
This is interesting! But in none of these cases do the LLMs propose models - they generate the outcome of calculations, it looks like.
If LLMs can create cognitive models, they should also be able to create other kinds of models, so I'd wonder if that is happening
I wonder if anyone uses LLM's to produce computational models in other fields, such as physics or engineering. Do you know if that's the case ?
Also: congratulations!
Excited to share that I’ll give a talk at this year’s Lindy Hop Festival in Aarhus on September 27! The talks are open to the public. aarhuslindyhoppers.dk/daytime-acti...
Been part of this work on bridging consciousness theories by distilling common features - led by awesome @zefanzheng.bsky.social @robertchisciure.bsky.social and Abhilash Dwarakanath, conceived at @mesec-community.bsky.social
Hope it's of interest!