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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
Short and Sparse Deconvolution --- A Geometric ApproachCode1
Neural Clustering ProcessesCode1
Short-and-Sparse Deconvolution -- A Geometric ApproachCode1
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributionsCode1
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
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
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application—0
Pulse Processing -- Overview and Challenges—0
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
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
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
L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization—0
L-Sort: On-chip Spike Sorting with Efficient Median-of-Median Detection and Localization-based Clustering—0
Neuromorphic Online Clustering and Classification—0
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models—0
On the Analysis of Multi-Channel Neural Spike Data—0
Efficient characterization of electrically evoked responses for neural interfacesCode0
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Edge computing on TPU for brain implant signal analysisCode0
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural RecordingCode0
High-dimensional cluster analysis with the Masked EM AlgorithmCode0
Spike Sorting using the Neural Clustering ProcessCode0
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware EvaluationCode0
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising AutoencodersCode0
YASS: Yet Another Spike SorterCode0
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