Joset A. Etzel

This study identifies two distinct neural mechanisms for event segmentation in the human brain using fMRI and computational models, showing unique pattern shifts for error-driven and uncertainty-driven boundaries.

The paper investigates the neural mechanisms linking working memory capacity and proactive control using fMRI and behavioral data from the DMCC project, identifying a circuit involving rDLPFC and lMOT.

The paper introduces the DMCC55B dataset, a collection of fMRI data from 55 healthy young adults performing cognitive control tasks, for benchmarking and analysis of task performance and individual differences.

The DMCC project investigates two cognitive control modes, proactive and reactive, using neuroimaging and behavioral tasks, finding a domain-general neural signature for reactive control.

This study examines twin effects in cognitive control using neuroimaging, finding increased similarity in fronto-parietal activation patterns between monozygotic twins under high control demands.

This study investigates how neural activity pattern reinstatement in older and young adults relates to detecting and remembering changes in events using functional MRI.

The paper uses fMRI pattern similarity analyses to examine individual and genetic differences in neural coding of working memory and perceptual category in FrontoParietal and Visual regions.