Eric H. Schumacher
Georgia Institute of Technology
65 Papers
296 Citations
Eric H. Schumacher is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Working memory & Task (project management). The author has an hindex of 32, co-authored 59 publications. Previous affiliations of Eric H. Schumacher include University of Michigan & Helen Wills Neuroscience Institute.
Chat about Author
Papers
Dissociation of Storage and Rehearsal in Verbal Working Memory: Evidence From Positron Emission Tomography
TL;DR: This article used positron emission tomography (PET) to provide further evidence for the functional division of verbal working memory between phonological store and rehearsal mechanism, and found that independent brain regions mediate storage and rehearsal.
742
Verbal working memory load affects regional brain activation as measured by pet
John Jonides,Eric H. Schumacher,Edward E. Smith,Erick J. Lauber,Edward Awh,Satoshi Minoshima,Robert A. Koeppe +6 more
TL;DR: The data support a model of working memory that includes both storage and executive processes that recruit a network of brain areas, all of which are involved in task performance.
723
The Role of Parietal Cortex in Verbal Working Memory
John Jonides,Eric H. Schumacher,Edward E. Smith,Robert A. Koeppe,Edward Awh,Patricia A. Reuter-Lorenz,Christy Marshuetz,Christopher R. Willis +7 more
TL;DR: The results suggest that parietal regions are part of a network of brain areas that mediate the short-term storage and retrieval of phonologically coded verbal material.
608
Virtually Perfect Time Sharing in Dual-Task Performance: Uncorking the Central Cognitive Bottleneck
Eric H. Schumacher,Travis L. Seymour,Jennifer M. Glass,David E. Fencsik,Erick J. Lauber,David E. Kieras,David E. Meyer +6 more
TL;DR: The three experiments reported here support the hypothesis that after relatively modest amounts of practice, at least some participants achieve virtually perfect time sharing in the dual-task performance of basic choice reaction tasks.
Audience preferences are predicted by temporal reliability of neural processing.
Jacek P. Dmochowski,Jacek P. Dmochowski,Matthew A. Bezdek,Brian P. Abelson,John S. Johnson,Eric H. Schumacher,Lucas C. Parra +6 more
TL;DR: It is found that the level of inter-subject correlation in the evoked encephalographic responses predicts the expressions of interest and preference among thousands and that stimuli which the authors judge favourably may be those to which their brains respond in a stereotypical manner shared by their peers.