ArticleCommunications biology2024
A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Review
- A Conserved Mammalian Hippocampal Navigation Motif Reconfigured for Primate Vision.bioRxiv : the preprint server for biology · 2026Article
- A State-Space Framework for Causal Detection of Hippocampal Ripple-Replay Events.IEEE transactions on bio-medical engineering · 2026Article
- Ripple contributions to human memory: making the spiking content count.Nature reviews. Neuroscience · 2025Review
- Review
- Behavioral Timing of Interictal Spikes, But Not Rate, Correlates with Impaired Working Memory Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Ultraslow serotonin oscillations in the hippocampus delineate substates across NREM and waking.eLife · 2025Article
- Article
- The role of electroencephalography in epilepsy research-From seizures to interictal activity and comorbidities.Epilepsia · 2025Review
- Neural models for detection and classification of brain states and transitions.Communications biology · 2025Article
- Self-supervised learning reduces label noise in sharp wave ripple classification.Scientific reports · 2025Article
- Interictal spikes during spatial working memory carry helpful or distracting representations of space and have opposing impacts on performance.bioRxiv : the preprint server for biology · 2024Article
- High frequency oscillations in human memory and cognition: a neurophysiological substrate of engrams?Brain : a journal of neurology · 2024Review
- A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species.Communications biology · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- How Can Animal Models Advance Research into High Frequency Oscillations: Guidelines for Recording, Detection and Analysis.Epilepsy currentsReview
- SynchroLINNce: Toolbox for Neural Synchronization and Desynchronization Assessment in Epilepsy Animal Models.International journal of psychological researchArticle
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5 authors.
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Abstract
The study of sharp-wave ripples has advanced our understanding of memory function, and their alteration in neurological conditions such as epilepsy is considered a biomarker of dysfunction. Sharp-wave ripples exhibit diverse waveforms and properties that cannot be fully characterized by spectral methods alone. Here, we describe a toolbox of machine-learning models for automatic detection and analysis of these events. The machine-learning architectures, which resulted from a crowdsourced hackathon, are able to capture a wealth of ripple features recorded in the dorsal hippocampus of mice across awake and sleep conditions. When applied to data from the macaque hippocampus, these models are able to generalize detection and reveal shared properties across species. We hereby provide a user-friendly open-source toolbox for model use and extension, which can help to accelerate and standardize analysis of sharp-wave ripples, lowering the threshold for its adoption in biomedical applications.
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