Razieh Faghihpirayesh
Papers
1
Total Citations
8
H-Index
1
About
Dr. Razieh Faghihpirayesh is a pioneering researcher in computational neuroscience and non-invasive brain stimulation, with a focus on optimizing Transcranial Magnetic Stimulation (TMS) methodologies. Her most cited work introduces a groundbreaking approach to motor cortex mapping using Gaussian Process Active Learning, which dramatically improves the efficiency of TMS-based cortical mapping by intelligently selecting stimulation sites rather than relying on traditional, time-consuming grid sampling. This innovation, published in 2021, has already garnered 8 citations, reflecting its growing impact on the field. By integrating machine learning with neurophysiological data—specifically Motor Evoked Potentials (MEPs) recorded via surface EMG—Dr. Faghihpirayesh has developed a framework that reduces mapping time while maintaining high spatial resolution. Her contributions are particularly significant for clinical applications, such as pre-surgical planning and rehabilitation, where rapid and accurate brain mapping is critical. Dr. Faghihpirayesh’s work exemplifies the intersection of artificial intelligence and neuroscience, offering a scalable solution to a longstanding bottleneck in brain stimulation research.
Research Focus
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Top Papers
- 1