SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 51 papers

TitleStatusHype
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Edge computing on TPU for brain implant signal analysisCode0
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural RecordingCode0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
Spike Sorting using the Neural Clustering ProcessCode0
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware EvaluationCode0
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising AutoencodersCode0
YASS: Yet Another Spike SorterCode0
Show:102550
← PrevPage 5 of 6Next →

No leaderboard results yet.