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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 11–20 of 51 papers

TitleStatusHype
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
YASS: Yet Another Spike SorterCode0
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
Edge computing on TPU for brain implant signal analysisCode0
Spike Sorting using the Neural Clustering ProcessCode0
Efficient characterization of electrically evoked responses for neural interfacesCode0
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity—0
Dependent Dirichlet Process Spike Sorting—0
Deep Spike Decoder (DSD)—0
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking—0
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