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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 1–10 of 51 papers

TitleStatusHype
Neural Clustering ProcessesCode1
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
Short and Sparse Deconvolution --- A Geometric ApproachCode1
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising AutoencodersCode0
Edge computing on TPU for brain implant signal analysisCode0
Efficient characterization of electrically evoked responses for neural interfacesCode0
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural RecordingCode0
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