ArticleJournal of mathematical neuroscience2017
Fast-Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes.
Article in Journal of mathematical neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed.
- Seizure recruitment properties are dependent upon dynamotype: A modeling study.PLoS computational biology · 2026Article
- Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Modelling dysfunction-specific interventions for seizure termination in epilepsy.NPJ systems biology and applications · 2025Article
- Article
- Article
- The Na+/K+-ATPase generically enables deterministic bursting in class I neurons by shearing the spike-onset bifurcation structure.PLoS computational biology · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Optimization of ictal aborting stimulation using the dynamotype taxonomy.Journal of computational neuroscience · 2023Article
- Linear feedback control of spreading dynamics in stochastic nonlinear network models: epileptic seizures.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023Article
- Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures.PLoS computational biology · 2023Article
- A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level.Journal of computational neuroscience · 2022Article
- Computational modeling of seizure spread on a cortical surface.Journal of computational neuroscience · 2022Article
- Classification of bursting patterns: A tale of two ducks.PLoS computational biology · 2022Review
- Critical dynamics in the spread of focal epileptic seizures: Network connectivity, neural excitability and phase transitions.PloS one · 2022Article
- Article
- Perturbations both trigger and delay seizures due to generic properties of slow-fast relaxation oscillators.PLoS computational biology · 2021Article
- Evidence for spreading seizure as a cause of theta-alpha activity electrographic pattern in stereo-EEG seizure recordings.PLoS computational biology · 2021Article
- Patient-Specific Network Connectivity Combined With a Next Generation Neural Mass Model to Test Clinical Hypothesis of Seizure Propagation.Frontiers in systems neuroscience · 2021Article
- Neural mass modeling of slow-fast dynamics of seizure initiation and abortion.PLoS computational biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bursting is a phenomenon found in a variety of physical and biological systems. For example, in neuroscience, bursting is believed to play a key role in the way information is transferred in the nervous system. In this work, we propose a model that, appropriately tuned, can display several types of bursting behaviors. The model contains two subsystems acting at different time scales. For the fast subsystem we use the planar unfolding of a high codimension singularity. In its bifurcation diagram, we locate paths that underlie the right sequence of bifurcations necessary for bursting. The slow subsystem steers the fast one back and forth along these paths leading to bursting behavior. The model is able to produce almost all the classes of bursting predicted for systems with a planar fast subsystem. Transitions between classes can be obtained through an ultra-slow modulation of the model's parameters. A detailed exploration of the parameter space allows predicting possible transitions. This provides a single framework to understand the coexistence of diverse bursting patterns in physical and biological systems or in models.
Indexed as
Identifiers
What OpenQuestion holds
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.