Bruce Luber
Papers
5
Total Citations
65
H-Index
4
About
Bruce Luber is a leading figure in the application of transcranial magnetic stimulation (TMS) to probe and modulate human cognition. His research centers on the intersection of TMS methodology, cognitive neuroscience, and aging, with a particular focus on perceptual decision-making and working memory. Luber made a critical technical contribution by rigorously evaluating the accuracy and usability of robotic coil positioning for TMS, demonstrating that such systems can significantly improve the precision and stability of stimulation—a foundational advance for reliable brain stimulation studies. His work has also been instrumental in testing network models of cognition; for example, he used TMS to causally implicate the lateral occipital cortex in the accumulation of visual evidence during decision-making. In the domain of aging, Luber has explored how site-specific repetitive TMS can enhance working memory manipulation in older adults, offering potential pathways for cognitive intervention. With over 65 citations across his most-cited papers, his impact is evident in both methodological innovation and cognitive theory. Notably, his 2019 study on robotic TMS accuracy, with 42 citations, has become a key reference for researchers seeking to standardize and automate TMS delivery.
Research Focus
Key Achievements
Top Papers
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