Adva Shoham

Text-related functionality of visual human pre-frontal activations revealed through neural network convergence

The paper investigates the functional role of visual prefrontal cortex activations by comparing their relational structure to text and visual DNNs, finding text DNNs better predict these activations.

High-level visual cortex representations are organized along visual rather than abstract principles.

The paper tests whether high-level visual cortex aligns with visual or abstract text by comparing neural responses to images and their textual descriptions.

Deep learning algorithms reveal a new visual-semantic representation of familiar faces in human perception and memory

This study shows that combining visual and semantic information improves predictions of human face recognition in memory, suggesting a new visual-semantic representation in human perception.