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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 1–50 of 51 papers

TitleStatusHype
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
Short and Sparse Deconvolution --- A Geometric ApproachCode1
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
Neural Clustering ProcessesCode1
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
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
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
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
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
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