Alexander Huth

@alex_ander

Interested in how & what the brain computes. Professor of Stats & Neuro UC Berkeley. Married to the incredible @Libertysays. he/him

Berkeley, CA

alexhuth.github.io

Joined April 2008

3KPosts 5KFollowers 2KFollowing

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Alexander Huth reposted

Tomoyasu Horikawa

@HKT52

Nov 6

Our "mind captioning" paper is now published in @ScienceAdvances. The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. doi.org/10.1126/sciadv…

Tomoyasu Horikawa

@HKT52

Apr 27, 2024

Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.

Alexander Huth

@alex_ander

Aug 19

Oops—to be clear this data is @zaidzada_'s wonderful Podcast ECoG dataset, not new ECoG data! Thanks to those authors for releasing this great corpus @samnastase @HassonLab

Alexander Huth

@alex_ander

Aug 18

Finally, we tested whether the same interpretable embeddings could also be used to model ECoG data from Nima Mesgarani's lab. Despite the fact that our features are less well-localized in time than LLM embeddings, this still works quite well!

alex_ander's tweet image. Finally, we tested whether the same interpretable embeddings could also be used to model ECoG data from Nima Mesgarani's lab. Despite the fact that our features are less well-localized in time than LLM embeddings, this still works quite well!

Alexander Huth reposted

Richard Antonello

@NeuroRJ

Aug 18

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

Alexander Huth reposted

Chandan Singh

@csinva

Aug 13

New paper: Ask 35 simple questions about sentences in a story and use the answers to predict brain responses. Interpretable. Compact. Surprisingly high performance in both fMRI and ECoG. biorxiv.org/content/10.110…

csinva's tweet image. New paper: Ask 35 simple questions about sentences in a story and use the answers to predict brain responses. Interpretable. Compact. Surprisingly high performance in both fMRI and ECoG. biorxiv.org/content/10.110…

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$sargechris's profile picture. PhD candidate @UvA_Amsterdam 🇳🇱, @ELLISforEurope 🇪🇺 | {video, neuro, cognitive}-AI | Neural networks 🤖 and brains 🧠 watching videos$