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eghbal-hosseini.bsky.social
PhD in computational neuroscience; Postdoc at MIT; working with @evfedorenko.bsky.social eghbalhosseini.github.io
15 posts 147 followers 283 following
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What should count as a good model of intelligence? AI is advancing rapidly, but how do we know if it captures intelligence in a scientifically meaningful way? We propose the *NeuroAI Turing Test*—a benchmark that evaluates models based on both behavior and internal representations.

submitted 2 days ago • 2 comments

Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments towards deeper insights, writes @gershbrain.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...

submitted 3 days ago • 2 comments

Nature research paper: Children’s arithmetic skills do not transfer between applied and academic mathematics https://go.nature.com/40PT3pT

submitted 21 days ago • 3 comments

📢 Applications are open for 2025 Analytical Connectionism! Topical focus: bias in learning Learn key connectionist models & analytical tools for neural-network analysis, and work on novel projects with faculty & postdoc mentors ⏰ Apply by 18 April ℹ️ www.analytical-connectionism.net/school/2025

submitted 22 days ago • 0 comments

Our representational alignment workshop returns to #ICLR2025! Submit your work on how ML/cogsci/neuro systems represent the world & what shapes these representations 💭🧠🤖 w/ @thisismyhat.bsky.social @dotadotadota.bsky.social, @sucholutsky.bsky.social @lukasmut.bsky.social @siddsuresh97.bsky.social

submitted 42 days ago • 0 comments

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior. w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

submitted 46 days ago • 3 comments

Why do diverse ANNs resemble brain representations? Check out our new paper with Colton Casto, @nogazs.bsky.social , Colin Conwell, Mark Richardson, & @evfedorenko.bsky.social on “Universality of representation in biological and artificial neural networks.” 🧠🤖 tinyurl.com/yckndmjt

submitted 62 days ago • 2 comments

New paper from our lab, by Mark Saddler, using machine learning to test the role of temporal coding in hearing. Here is a quick summary. (1/n) www.nature.com/articles/s41...

submitted 76 days ago • 2 comments