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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 31–40 of 51 papers

TitleStatusHype
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
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