Benjamin Gagl

Hierarchical Predictive Processing during Natural Reading

The paper investigates hierarchical predictive processing during natural reading using EEG and eye movements, finding distinct prediction error signals at different linguistic levels.

Eye-Tracking-BIDS: the Brain Imaging Data Structure extended to gaze position and pupil data

This paper extends the BIDS standard to include eye-tracking data and metadata, improving organization and transparency for gaze position and pupil recordings.

Understanding the Neuro-Cognitive Mechanisms of Orthographic Learning in Humans and Baboons: A Comparative Study Using Domain-Specific Mechanistic and Domain-General Connectionist Models

The paper compares orthographic learning in humans and baboons using mechanistic and connectionist models, finding that mechanistic models better capture species-specific learning patterns.

Specifying precision in visual-orthographic prediction error representations for a better understanding of efficient reading

The paper tests how precise orthographic prediction error representations affect word recognition, finding that more precise models better explain later behavioral and EEG data, while less precise models explain early brain activity.

Differences in orthographic processing across species identified by a transparent computational model

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 lexical categorization model: A computational model of left-ventral occipito-temporal cortex activation in visual word recognition

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.

Eye movements during text reading align with the rate of speech production

The paper shows that eye movement sampling rates during reading align with speech production rates across languages, with variations linked to writing system complexity.

Predictive pre-activation of orthographic and lexical-semantic representations facilitates visual word recognition

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.

Rapid neural encoding of the contrast between native and nonnative speech in the alpha band

This study shows the human brain distinguishes native and nonnative speech within 100 ms using alpha band phase coherence, achieving 90% decoding accuracy.

An Orthographic Prediction Error as the basis for efficient Visual Word Recognition

The paper demonstrates that prior visual-orthographic knowledge optimizes visual word representations, improving reading efficiency by focusing on relevant visual information.

Context-based facilitation in visual word recognition: Evidence for visual and lexical but not pre-lexical contributions

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