ArticleScientific reports2019
A normalized template matching method for improving spike detection in extracellular voltage recordings.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
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- Non-invasive ventral cervical magnetoneurography as a proxy of in vivo lipopolysaccharide-induced inflammation.Communications biology · 2024Article
- A deep-learning strategy to identify cell types across species from high-density extracellular recordings.bioRxiv : the preprint server for biology · 2024Article
- Thermal neuromodulation using pulsed and continuous infrared illumination in a penicillin-induced acute epilepsy model.Scientific reports · 2023Article
- Steering Toward Normative Wide-Dynamic-Range Neuron Activity in Nerve-Injured Rats With Closed-Loop Peripheral Nerve Stimulation.Neuromodulation : journal of the International Neuromodulation Society · 2023Article
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- Intertwined-pulse modulation for compressive data telemetry.Scientific reports · 2022Article
- Photo-modulated optical and electrical properties of graphene.Nanophotonics (Berlin, Germany) · 2022Review
- From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.Frontiers in neuroinformatics · 2022Review
- Framework for automated sorting of neural spikes from Neuralynx-acquired tetrode recordings in freely-moving mice.Bioelectronic medicine · 2021Article
- Recording site placement on planar silicon-based probes affects signal quality in acute neuronal recordings.Scientific reports · 2021Article
- Features of Action Potentials from Identified Thalamic Nuclei in Anesthetized Patients.Brain sciences · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Spike sorting is the process of detecting and clustering action potential waveforms of putative single neurons from extracellular voltage recordings. Typically, spike detection uses a fixed voltage threshold and shadow period, but this approach often misses spikes during high firing rate epochs or noisy conditions. We developed a simple, data-driven spike detection method using a scaled form of template matching, based on the sliding cosine similarity between the extracellular voltage signal and mean spike waveforms of candidate single units. Performance was tested in whisker somatosensory cortex (S1) of anesthetized mice in vivo. The method consistently detected whisker-evoked spikes that were missed by the standard fixed threshold. Detection was improved most for spikes evoked by strong stimuli (40-70% increase), improved less for weaker stimuli, and unchanged for spontaneous spiking. This represents improved detection during spatiotemporally dense spiking, and yielded sharper sensory tuning estimates. We also benchmarked performance using computationally generated voltage data. Template matching detected ~85-90% of spikes compared to ~70% for the standard fixed threshold method, and was more tolerant to high firing rates and simulated recording noise. Thus, a simple template matching approach substantially improves detection of single-unit spiking for cortical physiology.
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