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	Spike Sorting with Support Vector Machines R. Jacob Vogelstein∗ , Kartikeya Murari∗ , Pramodsingh H. Thakur∗ , Gert Cauwenberghs† , Shantanu Chakrabartty† , and Chris Diehl†‡ ∗ Department of Biomedical E Add to Reading List Document Date: 2009-11-03 23:15:07 Open Document File Size: 131,41 KB Share Result on Facebook City Boca Raton / Oakland / Cambridge / / Company MIT Press / CRC Press / / / Facility Johns Hopkins University / Applied Physics Laboratory Johns Hopkins University / / IndustryTerm spike-sorting algorithms / on-line real-time neural network / signal-to-noise ratio using nonlinear energy operator / metal probe / template matching algorithms / / Organization Department of Biomedical Engineering of Electrical and Computer Engineering / Johns Hopkins University / Johns Hopkins Animal Care and Use Committee / MIT / Society for Neuroscience / / Person R. Jacob Vogelstein / Ken Johnson / Chris Diehl / / Position representative / generative model / / ProvinceOrState Florida / / Technology neuroscience / machine learning / simulation / neural network / template matching algorithms / spike-sorting algorithms / / SocialTag Neuroscience Computational neuroscience Electrophysiology Statistical classification Spike sorting Support vector machine Single-unit recording Neural network Kernel methods Machine learning

Spike Sorting with Support Vector Machines R. Jacob Vogelstein∗ , Kartikeya Murari∗ , Pramodsingh H. Thakur∗ , Gert Cauwenberghs† , Shantanu Chakrabartty† , and Chris Diehl†‡ ∗ Department of Biomedical EAdd to Reading List