Zhengwu Ma

The paper introduces a naturalistic neuroimaging dataset with EEG and 7T fMRI recordings from 26 Mandarin speakers listening to single- and multi-talker speech, enabling research on attention and auditory processing in complex environments.

The paper introduces a naturalistic neuroimaging dataset with EEG and 7T fMRI recordings from 26 Mandarin speakers listening to single- and multi-talker speech, enabling research on attention and auditory processing in complex environments.

The paper presents a multimodal database of neuroimaging and EEG data from older Cantonese speakers listening to The Little Prince, aiming to study language comprehension and healthy aging effects.

This study shows that scaling large language models improves their alignment with human brain activity during reading more than instruction tuning.