Benjamin G. Lowe

Using EEG to Detect Lapses in Sustained Attention to Moving Stimuli

This paper uses EEG and a hierarchical classification method to detect attentional lapses by predicting errors in a visual task based on neural decodability.

The Latency of a Domain-General Visual Surprise Signal is Attribute Dependent

The paper investigates how visual surprise interacts with the visual cortex by analyzing EEG data from humans viewing changing visual attributes, finding attribute-dependent temporal hierarchies in whole-brain prediction error responses.

An Event-Related Potential Study of Onset Primacy in Visual Change Detection

This study investigates onset primacy in visual change detection using event-related potentials, finding that onsets are detected faster and evoke larger P300 responses than offsets.