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 26–50 of 51 papers

TitleStatusHype
Efficient characterization of electrically evoked responses for neural interfacesCode0
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity—0
Improving the Izhikevich Model Based on Rat Basolateral Amygdala and Hippocampus Neurons, and Recognizing Their Possible Firing Patterns—0
Deep Spike Decoder (DSD)—0
Spike Sorting using the Neural Clustering ProcessCode0
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
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
Neural Clustering ProcessesCode1
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
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Comparison of feature extraction and dimensionality reduction methods for single channel extracellular spike sorting—0
Validation of neural spike sorting algorithms without ground-truth information—0
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain—0
Deconvolution of High-Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain—0
Unsupervised Spike Sorting Based on Discriminative Subspace Learning—0
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions—0
Variational Particle Approximations—0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
On the Analysis of Multi-Channel Neural Spike Data—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.