Richard Antonello

@NeuroRJ

Postdoc in the Mesgarani Lab at Columbia University. Studying how the brain processes language by using LLMs. (Formerly @HuthLab at UT Austin)

neurorj.com Joined May 2020

241 Following 437 Followers 259 Posts

Latest posts 5

Richard Antonello @NeuroRJ May 5

How can manifold theory help us understand why representations learned by AI models🤖 are aligned to the brain🧠? We expanded our UniReps Best Short Paper on this topic into a full paper at @icmlconf! Now extended to ECoG and with new brain-tuning results! Check it out👇

Emily Cheng @ ICML @sparse_emcheng May 5

Presenting this @icmlconf with @NeuroRJ & @_avaidya✨

Why do 𝙢𝙞𝙙𝙙𝙡𝙚 layers in LLMs and speech-audio models best predict brain responses to language?

We show a peak in the dimensionality of🤖activations (left) to track high🧠predictivity (right)

🧵

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Richard Antonello @NeuroRJ Aug 18, 2025

In our new paper, we explore how we can build encoding models that are both powerful and understandable. Our model uses an LLM to answer 35 questions about a sentence's content. The answers linearly contribute to our prediction of how the brain will respond to that sentence. 1/6

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Richard Antonello @NeuroRJ May 3, 2025

For those attending NAACL, today I'll be presenting recent work on how we can use language encoding models to identify functional specialization throughout cortex. Stop by my talk at 10:30 at the CMCL workshop!

Richard Antonello @NeuroRJ Dec 12, 2024

Come by our poster (#3801), exploring how we can use the question-answering abilities of LLMs to build more #interpretable models of language processing in the 🧠, starting in one hour at #NeurIPS !

Chandan Singh Verified account @csinva May 28, 2024

LLM embeddings are opaque, hurting them in contexts where we really want to understand what’s in them (like neuroscience)

Our new work asks whether we can craft *interpretable embeddings* just by asking yes/no questions to black-box LLMs. 🧵 arxiv.org/abs/2405.16714

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Richard Antonello @NeuroRJ Oct 6, 2024

Come see my poster on the information theory behind brain-to-text decoding, today at #SfN24 from 1 to 5PM at Poster O15. And also be sure to check out our work on explaining and driving the activity of individual cortical voxels by using LLMs, at poster O16, right next door!