@HuthLab

computational & experimental neuroscience/CS lab at UC Berkeley. fMRI + language + machine learning. Looking for students and postdocs! PI: @alex_ander

 Berkeley, CA
cs.utexas.edu/~huth
Joined December 2016
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Our ✨Large-scale fMRI dataset on naturalistic language✨is now out in Nature Scientific Data! MANY hours (5 to 16 per indiv) on MANY ppl (8 indiv)! We also included code to fit encoding models exactly like all @HuthLab papers! Pls read @alex_ander's awesome thread on... 1/2
Alexander Huth@alex_ander23 Aug 2023
Our big language fMRI dataset is now officially published! 📰 The paper: nature.com/articles/s41597-0… (free pdf: nature.com/articles/s41597-0…) 🧰 Code to download data & build models: github.com/HuthLab/deep-fMRI… 💾 The dataset: openneuro.org/datasets/ds003…

A natural language fMRI dataset for voxelwise encoding models

Scientific Data - A natural language fMRI dataset for voxelwise encoding models

nature.com
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Our language decoding paper (@AmandaLeBel3 @shaileeejain @alex_ander) is out! We found that it is possible to use functional MRI scans to predict the words that a user was hearing or imagining when the scans were collected nature.com/articles/s41593-0…

Semantic reconstruction of continuous language from non-invasive brain recordings

Nature Neuroscience - Tang et al. show that continuous language can be decoded from functional MRI recordings to recover the meaning of perceived and imagined speech stimuli and silent videos and...

nature.com
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