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Spike Sorting

Spike sorting is a class of techniques used in the analysis of electrophysiological data. Spike sorting algorithms use the shape(s) of waveforms collected with one or more electrodes in the brain to distinguish the activity of one or more neurons from background electrical noise.

Papers

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Showing 31–40 of 51 papers

TitleStatusHype
Deep Spike Decoder (DSD)—0
Spike Sorting using the Neural Clustering ProcessCode0
Fast Convolutional Dictionary Learning off the Grid—0
Large scale Lasso with windowed active set for convolutional spike sorting—0
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
Evaluation of spike sorting algorithms: Simulations and application to human Subthalamic Nucleus recordings—0
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural RecordingCode0
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encodersCode0
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application—0
YASS: Yet Another Spike SorterCode0
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