Apparent neural encoding of future words may arise from the statistical structure of language itself, rather than from predictive computations in the brain.

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

Learning English is no easy task, as countless students well know. But when the student is a computer, one approach works surprisingly well: Simply feed mountains of text from the internet to a giant ...

RETRO uses an external memory to look up passages of text on the fly, avoiding some of the costs of training a vast neural network In the two years since OpenAI released its language model GPT-3, most ...