ArticleJournal of neurophysiology2016
A comparison of computational methods for detecting bursts in neuronal spike trains and their application to human stem cell-derived neuronal networks.
Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- A semi-automated MEA spike sorting method for high-throughput assessment of cultured neurons.Stem cell reports · 2026Article
- Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling.ACS nano · 2025Article
- SLAy-ing oversplitting errors in high-density electrophysiology spike sorting.bioRxiv : the preprint server for biology · 2025Article
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
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- The molecular clock drives motivated locomotion and time-of-day-dependent firing patterns in mouse dopaminergic neurons.Npj biological timing and sleep · 2025Article
- Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation.Scientific reports · 2024Article
- Astrocytes induce desynchronization and reduce predictability in neuron-astrocyte networks cultured on microelectrode arrays.Royal Society open science · 2024Article
- Alpha-synuclein-induced nigrostriatal degeneration and pramipexole treatment disrupt frontostriatal plasticity.NPJ Parkinson's disease · 2024Article
- Detecting rhythmic spiking through the power spectra of point process model residuals.Journal of neural engineering · 2024Article
- BDNF and TRiC-inspired reagent rescue cortical synaptic deficits in a mouse model of Huntington's disease.Neurobiology of disease · 2024Article
- Detecting rhythmic spiking through the power spectra of point process model residuals.bioRxiv : the preprint server for biology · 2024Article
- Calcium-Dependent Hyperexcitability in Human Stem Cell-Derived Rett Syndrome Neuronal Networks.Biological psychiatry global open science · 2024Article
- Improved Cryopreservation of Human Induced Pluripotent Stem Cell (iPSC) and iPSC-derived Neurons Using Ice-Recrystallization Inhibitors.Stem cells (Dayton, Ohio) · 2023Article
- Does Pallidal Physiology Determine the Success of Unilateral Deep Brain Stimulation in Cervical Dystonia?Advances in neurobiology · 2023Article
- Selective inhibition of excitatory synaptic transmission alters the emergent bursting dynamics ofFrontiers in neural circuits · 2023Article
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5 authors.
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Abstract
Accurate identification of bursting activity is an essential element in the characterization of neuronal network activity. Despite this, no one technique for identifying bursts in spike trains has been widely adopted. Instead, many methods have been developed for the analysis of bursting activity, often on an ad hoc basis. Here we provide an unbiased assessment of the effectiveness of eight of these methods at detecting bursts in a range of spike trains. We suggest a list of features that an ideal burst detection technique should possess and use synthetic data to assess each method in regard to these properties. We further employ each of the methods to reanalyze microelectrode array (MEA) recordings from mouse retinal ganglion cells and examine their coherence with bursts detected by a human observer. We show that several common burst detection techniques perform poorly at analyzing spike trains with a variety of properties. We identify four promising burst detection techniques, which are then applied to MEA recordings of networks of human induced pluripotent stem cell-derived neurons and used to describe the ontogeny of bursting activity in these networks over several months of development. We conclude that no current method can provide "perfect" burst detection results across a range of spike trains; however, two burst detection techniques, the MaxInterval and logISI methods, outperform compared with others. We provide recommendations for the robust analysis of bursting activity in experimental recordings using current techniques.
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