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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
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
Short and Sparse Deconvolution --- A Geometric ApproachCode1
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
Neural Clustering ProcessesCode1
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking—0
An Adaptive Contrastive Learning Model for Spike Sorting—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
L-Sort: On-chip Spike Sorting with Efficient Median-of-Median Detection and Localization-based Clustering—0
L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization—0
Deep Spike Decoder (DSD)—0
Dependent Dirichlet Process Spike Sorting—0
68-Channel Highly-Integrated Neural Signal Processing PSoC with On-Chip Feature Extraction, Compression, and Hardware Accelerators for Neuroprosthetics in 22nm FDSOI—0
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity—0
Efficient Approximation of Action Potentials with High-Order Shape Preservation in Unsupervised Spike Sorting—0
Comparison of feature extraction and dimensionality reduction methods for single channel extracellular spike sorting—0
Evaluation of spike sorting algorithms: Simulations and application to human Subthalamic Nucleus recordings—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
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
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection—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
Large scale Lasso with windowed active set for convolutional spike sorting—0
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