Miriam Kirchhoff
Papers
1
Total Citations
3
H-Index
1
About
Miriam Kirchhoff is a rising leader in noninvasive brain stimulation, with a research focus on optimizing transcranial magnetic stimulation (TMS) through computational and Bayesian approaches. Her most-cited work, "Targeting multi-locus TMS with Bayesian optimization" (2025), introduces a groundbreaking method for precisely directing stimulation toward functionally relevant neural pathways. By tightly synchronizing paired-pulse stimulation across two sites and ensuring accurate interstimulus intervals, Kirchhoff’s technique dramatically improves the precision of dual-site TMS. In a pilot experiment, her approach successfully enhanced motor evoked potentials, demonstrating its potential for both basic neuroscience and clinical applications. Although early in her career, her work has already garnered attention for its innovative fusion of machine learning and neuromodulation. Kirchhoff’s contributions promise to advance personalized brain stimulation therapies, making her a researcher to watch in the evolving field of noninvasive neurotechnology.
Research Focus
Key Achievements
Top Papers
- 1Targeting multi-locus TMS with Bayesian optimization3 citations · 2025