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Computationally Efficient Neural Feature Extraction
Dr. Awais M. Kamboh’s research paper titled: "Computationally Efficient Neural Feature Extraction for Spike Sorting in Implantable High-Density Recording Systems," has been accepted in IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE). IEEE TNSRE is an ISI indexed journal with a 5-year impact factor of 3.95. The work presents a novel technique for processing of neural signals to be used in implantable brain-machine interfaces and brain-controlled artificial limbs.