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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 26–50 of 51 papers

TitleStatusHype
Scalable 49-Channel Neural Recorder with an Event-Driven Ramp ADC and PCA Compression in 28 nm CMOS—0
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation—0
SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm—0
SpikeSift: A Computationally Efficient and Drift-Resilient Spike Sorting Algorithm—0
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions—0
Three-dimensional spike localization and improved motion correction for Neuropixels recordings—0
Unsupervised Spike Sorting Based on Discriminative Subspace Learning—0
Validation of neural spike sorting algorithms without ground-truth information—0
Variational Particle Approximations—0
68-Channel Highly-Integrated Neural Signal Processing PSoC with On-Chip Feature Extraction, Compression, and Hardware Accelerators for Neuroprosthetics in 22nm FDSOI—0
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants—0
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection—0
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking—0
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity—0
Comparison of feature extraction and dimensionality reduction methods for single channel extracellular spike sorting—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
Deep Spike Decoder (DSD)—0
Dependent Dirichlet Process Spike Sorting—0
Efficient Approximation of Action Potentials with High-Order Shape Preservation in Unsupervised Spike Sorting—0
Evaluation of spike sorting algorithms: Simulations and application to human Subthalamic Nucleus recordings—0
Fast Convolutional Dictionary Learning off the Grid—0
FS-SS: Few-Shot Learning for Fast and Accurate Spike Sorting of High-channel Count Probes—0
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