ArticleJournal of neural engineering2023
Unsupervised learning of stationary and switching dynamical system models from Poisson observations.
Article in Journal of neural engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Prioritized nonlinear modeling of shared dynamics across neural populations.Journal of neural engineering · 2026Article
- Blind identification of state transitions and latent neural dynamics from electrophysiological recordings.Journal of neuroscience methods · 2026Article
- Identification of modulated whole-brain dynamical models from nonstationary electrophysiological data.Journal of neural engineering · 2025Article
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
- Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference.Advances in neural information processing systems · 2025Article
- Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks.Nature neuroscience · 2024Article
- Event detection and classification from multimodal time series with application to neural data.Journal of neural engineering · 2024Article
- Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity.Journal of neural engineering · 2024Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
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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.