Inducing Dyslexia in Vision Language Models
Researchers modeled dyslexia in vision-language models by identifying and removing specific units responsible for processing word forms. Ablating these visual-word-form-selective units caused a selective reading deficit below human thresholds while preserving general visual and reasoning abilities. This creates a computational framework to study the neural basis of dyslexia.