Task-optimized neural networks reveal distinct contributions of specialized and broader visual learning to neural representations of face familiarity
By combining source-resolved MEG with task-optimized neural networks, this study demonstrates that face familiarity processing involves a stage-dependent dissociation where intermediate visual areas rely on face-specific training for precise timing, while fusiform cortex representations align with broader visual learning objectives.