首页|University of Rennes Reports Findings in Machine Learning (Generalisation capabi lities of machine-learning algorithms for the detection of the subthalamic nucle us in micro-electrode recordings)
University of Rennes Reports Findings in Machine Learning (Generalisation capabi lities of machine-learning algorithms for the detection of the subthalamic nucle us in micro-electrode recordings)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromRennes, France, by NewsRx journalis ts, research stated, “Micro-electrode recordings (MERs) are a keyintra-operativ e modality used during deep brain stimulation (DBS) electrode implantation, whic h allowfor a trained neurophysiologist to infer the anatomy in which the electr ode is placed. As DBS targets aresmall, such inference is necessary to confirm that the electrode is correctly positioned.”
RennesFranceEuropeAlgorithmsBrai nCentral Nervous SystemCyborgsEmerging TechnologiesHealth and MedicineMachine LearningProsencephalonSubthalamic NucleusSubthalamus
NETL
NSTL
