ArticleFrontiers in computational neuroscience2019
Bistable Firing Pattern in a Neural Network Model.
Article in Frontiers in computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- The Difference Neuron-a new spiking neuron model.Biological cybernetics · 2026Article
- Neuronal silence as a predictive biomarker and target for epileptic seizures suppression.Scientific reports · 2026Article
- Hippocampal Interneurons Shape Spatial Coding Alterations in Neurological Disorders.Molecular neurobiology · 2025Review
- Interleaved single and bursting spiking resonance in neurons.PLoS computational biology · 2025Article
- Criticality and partial synchronization analysis in Wilson-Cowan and Jansen-Rit neural mass models.PloS one · 2024Article
- Propagation of transient explosive synchronization in a mesoscale mouse brain network model of epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Synchronization in STDP-driven memristive neural networks with time-varying topology.Journal of biological physics · 2023Article
- The Roles of Potassium and Calcium Currents in the Bistable Firing Transition.Brain sciences · 2023Article
- The Role of Potassium and Calcium Currents in the Bistable Firing Transition.bioRxiv : the preprint server for biology · 2023Article
- Bursting hierarchy in an adaptive exponential integrate-and-fire network synchronization.Biological cybernetics · 2022Article
- Characterisation of neonatal cardiac dynamics using ordinal partition network.Medical & biological engineering & computing · 2022Article
- Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling.Frontiers in computational neuroscience · 2020Article
- Influence of Delayed Conductance on Neuronal Synchronization.Frontiers in physiology · 2020Article
- Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses.Frontiers in systems neuroscience · 2020Article
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13 authors.
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Abstract
Excessively high, neural synchronization has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy. In this paper, we study neural synchronization in a random network where nodes are neurons with excitatory and inhibitory synapses, and neural activity for each node is provided by the adaptive exponential integrate-and-fire model. In this framework, we verify that the decrease in the influence of inhibition can generate synchronization originating from a pattern of desynchronized spikes. The transition from desynchronous spikes to synchronous bursts of activity, induced by varying the synaptic coupling, emerges in a hysteresis loop due to bistability where abnormal (excessively high synchronous) regimes exist. We verify that, for parameters in the bistability regime, a square current pulse can trigger excessively high (abnormal) synchronization, a process that can reproduce features of epileptic seizures. Then, we show that it is possible to suppress such abnormal synchronization by applying a small-amplitude external current on > 10% of the neurons in the network. Our results demonstrate that external electrical stimulation not only can trigger synchronous behavior, but more importantly, it can be used as a means to reduce abnormal synchronization and thus, control or treat effectively epileptic seizures.
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