Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices
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An Adaptive Detection for Automatic Spike Sorting Based on Mixture of Skew-t distributions
PDF) Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices
An Adaptive Detection for Automatic Spike Sorting Based on Mixture of Skew-t distributions
Bayes optimal template matching for spike sorting – combining fisher discriminant analysis with optimal filtering
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Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations - ScienceDirect
Low-latency single channel real-time neural spike sorting system based on template matching
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An Adaptive Detection for Automatic Spike Sorting Based on Mixture of Skew-t distributions
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Facilitating stochastic resonance as a pre-emphasis method for neural spike detection - IOPscience
Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices
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