Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns
A multimodal language model was deliberately damaged to see if its mistakes resembled human aphasia. Researchers found that the "lesioned" model could reproduce the kinds of picture-naming errors made by stroke survivors, even matching the complete error profile of individual patients. This suggests structural alignment between AI and brain language organization.