Stefan Appelhoff

EEG-representational geometries and psychometric distortions in approximate numerical judgment

The paper investigates whether neural representational geometries reflect behavioral underweighting of extreme values in numerical judgment tasks, finding enhanced processing of extremes but no evidence for neural compression.

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

The paper introduces PET-BIDS, an extension of the BIDS standard for PET data, and provides curated datasets and tools for its use.

Control over sampling boosts numerical evidence processing in human decisions from experience

The paper shows that having control over when to stop sampling improves decision accuracy, parietal decision signals, and EEG encoding of numerical information in human decisions from experience.

Capturing the nature of events and event context using Hierarchical Event Descriptors (HED)

The paper introduces HED for event annotation in neuroimaging data, demonstrating its application to a BIDS dataset and providing best practices for event design and annotation.