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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
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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