scispace - formally typeset
U

Ulrich Mayr

Researcher at University of Oregon

Publications -  131
Citations -  11527

Ulrich Mayr is an academic researcher from University of Oregon. The author has contributed to research in topics: Cognition & Task (project management). The author has an hindex of 48, co-authored 115 publications receiving 10607 citations. Previous affiliations of Ulrich Mayr include University of Potsdam & Max Planck Society.

Papers
More filters
Journal ArticleDOI

Complex semantic processing in old age: does it stay or does it go?

TL;DR: Old adults' and young adults' speed of producing exemplars of semantic categories varying in difficulty was assessed both in a standard condition and in a "set-switching" condition where exemplars had to be produced from 2 categories in an alternating manner.
Journal ArticleDOI

On How to Be Unpredictable Evidence From the Voluntary Task-Switching Paradigm

TL;DR: It is shown that the degree to which subjects perseverate on tasks across trials captures unique individual differences variance, but also that the switch rate is under strong stimulus-driven control: “Voluntary” switches are much more frequent when the stimulus changes than when it repeats.
Journal ArticleDOI

Is Task Switching Nothing but Cue Priming? Evidence from ERPs

TL;DR: In a paradigm with a 2:1 mapping between cues and tasks, it is shown that cue-switch and task-switch effects are dissociable on a neurophysiological level, indicating that task switching is more than a switch in the task-indicating cue.
Journal ArticleDOI

Cognitive aging: is there a dark side to environmental support?

TL;DR: It is proposed that memory deficits among older adults increase when self-initiated processing is required and decrease when the environment provides task-appropriate cues and this observation is not confined to memory but can be subsumed under a more general developmental trend.
BookDOI

Developing individuality in the human brain : a tribute to Michael I. Posner

TL;DR: The cognitive neuroscience revolution rests on two cornerstones: simple experimental paradigms to capture critical components of the mind and new methods to watch what the brain is doing while working in these paradigm.