Susanne Eisenhauer

This paper uses MEG to show how semantic control regions interact with visual cortex during semantic decisions, revealing goal-dependent feedback and feedforward signaling patterns.

This study uses a computational model to show that orthographic processing in humans, baboons, and pigeons varies with phylogenetic distance, with humans and baboons using more similar representations.

The study shows that word representations and contextual properties dissociate along a cortical gradient during language processing, with sensory features at one end and contextual features at the other.

The paper proposes a computational model of left-ventral occipito-temporal cortex activation in reading, showing it predicts brain activity better than alternatives and links word-likeness and lexical categorization to reading efficiency.

The paper investigates how predictive contexts affect visual word recognition by examining pre-activation of orthographic and lexical-semantic representations using behavioral and neuroimaging data.

This paper investigates context-based facilitation in visual word recognition, finding facilitation at visual and lexical levels but not pre-lexical or top-down.