ArticleeLife2021
A state space modeling approach to real-time phase estimation.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- A Predictive Dual-Stage Neural Framework for Phase-Coherent Auditory Synthesis on Edge Devices.Sensors (Basel, Switzerland) · 2026Article
- Role of neuronal oscillations in memory driven visual processing.BMC biology · 2026Article
- Article
- Bayesian Temporal Prediction: A Robust Algorithm for Real-Time EEG Phase-Dependent Brain Stimulation.IEEE transactions on bio-medical engineering · 2026Article
- Towards an informational account of interpersonal coordination.Nature reviews. Neuroscience · 2026Review
- A State-Space Framework for Causal Detection of Hippocampal Ripple-Replay Events.IEEE transactions on bio-medical engineering · 2026Article
- Optimizing real-time phase detection in diverse rhythmic biological signals for phase-specific neurostimulation.Journal of neural engineering · 2025Article
- Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling.Advances in neural information processing systems · 2025Article
- An Adaptable Phase-Tracking System for Parkinsonian Rest Tremor: Design and In-Clinic Feasibility.IEEE journal of translational engineering in health and medicine · 2025Article
- Article
- A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings.bioRxiv : the preprint server for biology · 2024Article
- Different Methods to Estimate the Phase of Neural Rhythms Agree But Only During Times of Low Uncertainty.eNeuro · 2023Article
- Article
- Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty.bioRxiv : the preprint server for biology · 2023Article
- Switching state-space modeling of neural signal dynamics.PLoS computational biology · 2023Article
- Site-dependent shaping of field potential waveforms.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- An extended Hilbert transform method for reconstructing the phase from an oscillatory signal.Scientific reports · 2023Article
- Manipulating single-unit theta phase-locking with PhaSER: An open-source tool for real-time phase estimation and manipulation.bioRxiv : the preprint server for biology · 2023Article
- Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG.Biosensors · 2023Article
- Stable, interactive modulation of neuronal oscillations produced through brain-machine equilibrium.Cell reports · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Brain rhythms have been proposed to facilitate brain function, with an especially important role attributed to the phase of low-frequency rhythms. Understanding the role of phase in neural function requires interventions that perturb neural activity at a target phase, necessitating estimation of phase in real-time. Current methods for real-time phase estimation rely on bandpass filtering, which assumes narrowband signals and couples the signal and noise in the phase estimate, adding noise to the phase and impairing detections of relationships between phase and behavior. To address this, we propose a state space phase estimator for real-time tracking of phase. By tracking the analytic signal as a latent state, this framework avoids the requirement of bandpass filtering, separately models the signal and the noise, accounts for rhythmic confounds, and provides credible intervals for the phase estimate. We demonstrate in simulations that the state space phase estimator outperforms current state-of-the-art real-time methods in the contexts of common confounds such as broadband rhythms, phase resets, and co-occurring rhythms. Finally, we show applications of this approach to in vivo data. The method is available as a ready-to-use plug-in for the Open Ephys acquisition system, making it widely available for use in experiments.
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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.