Minh-Huy Mai-Duc
@sabertoaster.bsky.social
Undergrad @ VNUHCM University of Science. Interested in doing NeuroAI research. Happy to discuss and for further reaching out:) ---- 2026 will be my year!
1/2) Please let's all remember that GWT is a theoy of access consciousness (what is available for verbal reasoning) and not phenomenal consciousness (subjective experience): philpapers.org/rec/BLOOAC Obviously, in this study access consciousness is literally what they test in the LLMs. #NeuroAI 🧪
philpapers.org
Anthropic {bot}@anthropicbot.bsky.social · last mo.New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. (1/2)
Sorry, I've been under a rock - have computational neuroscientists now concluded that computation has nothing to do with the brain?
The Neuroinformatics Unit is going to #FENS2026. Come and chat to us if you're interested in open source neuroscience software!
There's a project named "Synthetic pleasure: Can a robot have an orgasm?" :)
Neuromatch@neuromatch.bsky.social · last mo.🎉 Introducing the 2026 Neuromatch AI Sentience Scholars cohort! Learn more about them, the projects they will be working on, and their mentors! ⬇️ neuromatch.io/ai-sentience... We're just kicking off this 6 month program and already incredibly proud! #AISentience #AIResearch #ConsciousnessStudies
ANNet: A first-principles neural network for forward and inverse dynamics https://www.biorxiv.org/content/10.64898/2026.06.03.729998v1
Very interesting
Sushrut Thorat@martisamuser.bsky.social · 2mo ago1/ Periodic reminder: decodable ≠ causally used. Or, as we put it: Represented Is Not Computed. New paper w/ the excellent Ishita Darade (not on BSky; www.linkedin.com/in/ishita-da...), an undergrad student: arxiv.org/abs/2605.22488 #representation #NeuroAI #neuroscience #interpretability
“under any single goal, the human connectome is suboptimal. Instead, its organization reflects multi-objective trade-offs navigated over evolution and development under biological and environmental constraints” Not just connectome…
CLaE@claeneuro.bsky.social · 3mo agoTrends in Cognitive Sciences Embracing the suboptimal organization of the human brain. www.cell.com/trends/cogni...
The principle of emergence, from CompCogNeuro book, chapter 1
www.neuroai.science/p/claude-cod... Why yes this is very helpful for me as an undergrad. I like the way the methods that Patrick laid, how to aid research using AI and its pros vs cons
Claude Code for Scientists
Abundant code without the sharp edges
neuroai.science
I wrote a blog post in memorial of David C. Marr, a neuroscientist of previous century on the topic of Marr's Tri-level Analysis, its revised form and the birth of Mechanistic Interpretability. sabertoaster.github.io/blog/2026/in...
In memorial of David C.Marr | Huy Mai
Briefly written
sabertoaster.github.io
📢 Applications open on 19 Jan for the 7-week #Mathematics #SummerSchool in London. You will develop the maths skills and intuition necessary to enter the #TheoreticalNeuroscience / #MachineLearning field. Find out more & register for the information webinar 👉 www.ucl.ac.uk/life-science...
Published @cp-trendscognsci.bsky.social with @drewlinsley.bsky.social & @tonyfeng.bsky.social: As vision models scale to human/superhuman accuracy, they’re becoming worse models of primate vision—benchmark engineering isn’t neuroscience. @carneyinstitute.bsky.social @browncopsy.bsky.social
Better artificial intelligence does not mean better models of biology
Deep neural networks (DNNs) once showed increasing alignment with primate perception as they improved on vision benchmarks, raising hopes that advances in artificial intelligence (AI) would naturally ...
cell.com
Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI? ➡️ My first real solo piece 🖤🫶 @natneuro.nature.com rdcu.be/eWVmA
Leveraging insights from neuroscience to build adaptive artificial intelligence
Nature Neuroscience - Adaptive intelligence envisions AI that, like animals, learns online, generalizes and adapts quickly. This Perspective reviews biological foundations, progress in AI and...
rdcu.be
📆 updated for 2026! list of summer schools & short courses in the realm of (computational) neuroscience or data analysis of EEG / MEG / LFP: 🔗 docs.google.com/spreadsheets...
various computational neuroscience / MEEG / LFP short courses and summer schools
docs.google.com
This point by @earlkmiller.bsky.social is very much obvious from a mainstream deep learning perspective. Why would neurons specialize?
Earl K. Miller@earlkmiller.bsky.social · 11mo agoTalk: Cognition is Emergent - Earl K. Miller Neuroscience and Philosophy Salon, 9-12-25 youtu.be/Sk4ehOcsDmM?...