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 1–25 of 51 papers

TitleStatusHype
Scalable 49-Channel Neural Recorder with an Event-Driven Ramp ADC and PCA Compression in 28 nm CMOS—0
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection—0
SpikeSift: A Computationally Efficient and Drift-Resilient Spike Sorting Algorithm—0
FS-SS: Few-Shot Learning for Fast and Accurate Spike Sorting of High-channel Count Probes—0
Pulse Processing -- Overview and Challenges—0
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation—0
L-Sort: On-chip Spike Sorting with Efficient Median-of-Median Detection and Localization-based Clustering—0
Inferring collective synchrony observing spiking of one or several neurons—0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
68-Channel Highly-Integrated Neural Signal Processing PSoC with On-Chip Feature Extraction, Compression, and Hardware Accelerators for Neuroprosthetics in 22nm FDSOI—0
L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization—0
Neuromorphic Online Clustering and Classification—0
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models—0
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting—0
Edge computing on TPU for brain implant signal analysisCode0
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware EvaluationCode0
Efficient Approximation of Action Potentials with High-Order Shape Preservation in Unsupervised Spike Sorting—0
Three-dimensional spike localization and improved motion correction for Neuropixels recordings—0
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising AutoencodersCode0
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
Short and Sparse Deconvolution --- A Geometric ApproachCode1
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking—0
SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.