ArticleScientific reports2021
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Article
- Integrating neural decoding, memristive materials, and adaptive control frameworks for next-generation hippocampal memory prosthetics.iScience · 2026Review
- Density-based longitudinal neuron tracking in high-density electrophysiological recordings.Patterns (New York, N.Y.) · 2026Article
- OP-GLX: A MATLAB Toolbox for Online Processing and Plotting of Neuropixels Data Acquired with SpikeGLX.bioRxiv : the preprint server for biology · 2026Article
- A Study of Deep Clustering in Spike Sorting.Neuroinformatics · 2025Article
- A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting.Nature communications · 2025Article
- A Study of Non-Linear Manifold Feature Extraction in Spike Sorting.Neuroinformatics · 2025Article
- The spatial frequency representation predicts category coding in the inferior temporal cortex.eLife · 2025Article
- The impact of spatial frequency on hierarchical category representation in macaque temporal cortex.Communications biology · 2025Article
- Foldable 3D opto-electro array for optogenetic neuromodulation and physiology recording.Microsystems & nanoengineering · 2025Article
- Neural responses to light stimulation in the octopus arm.The Journal of experimental biology · 2025Article
- PseudoSorter: A self-supervised spike sorting approach applied to reveal Tau-induced reductions in neuronal activity.Science advances · 2025Article
- Article
- Comparison metrics and power trade-offs for BCI motor decoding circuit design.Frontiers in human neuroscience · 2025Review
- Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann-Pick Disease Type C.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.Nature communications · 2024Article
- Control of polymers' amorphous-crystalline transition enables miniaturization and multifunctional integration for hydrogel bioelectronics.Nature communications · 2024Article
- Assessing cross-contamination in spike-sorted electrophysiology data.bioRxiv : the preprint server for biology · 2023Article
- Mechanosensory signal transmission in the arms and the nerve ring, an interarm connective, ofiScience · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing high-density electrodes for recording large ensembles of neurons provides a unique opportunity for understanding the mechanism of the neuronal circuits. Nevertheless, the change of brain tissue around chronically implanted neural electrodes usually causes spike wave-shape distortion and raises the crucial issue of spike sorting with an unstable structure. The automatic spike sorting algorithms have been developed to extract spikes from these big extracellular data. However, due to the spike wave-shape instability, there have been a lack of robust spike detection procedures and clustering to overcome the spike loss problem. Here, we develop an automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions to address these distortions and instabilities. The adaptive detection procedure applies to the detected spikes, consists of multi-point alignment and statistical filtering for removing mistakenly detected spikes. The detected spikes are clustered based on the mixture of skew-t distributions to deal with non-symmetrical clusters and spike loss problems. The proposed algorithm improves the performance of the spike sorting in both terms of precision and recall, over a broad range of signal-to-noise ratios. Furthermore, the proposed algorithm has been validated on different datasets and demonstrates a general solution to precise spike sorting, in vitro and in vivo.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.