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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 1–25 of 51 papers

TitleStatusHype
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
Neural Clustering ProcessesCode1
Short and Sparse Deconvolution --- A Geometric ApproachCode1
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encodersCode0
Spike Sorting using the Neural Clustering ProcessCode0
YASS: Yet Another Spike SorterCode0
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware EvaluationCode0
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural RecordingCode0
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
Efficient characterization of electrically evoked responses for neural interfacesCode0
Edge computing on TPU for brain implant signal analysisCode0
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising AutoencodersCode0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
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
An Adaptive Contrastive Learning Model for Spike Sorting—0
FS-SS: Few-Shot Learning for Fast and Accurate Spike Sorting of High-channel Count Probes—0
Improving the Izhikevich Model Based on Rat Basolateral Amygdala and Hippocampus Neurons, and Recognizing Their Possible Firing Patterns—0
Inferring collective synchrony observing spiking of one or several neurons—0
Fast Convolutional Dictionary Learning off the Grid—0
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