ArticleScientific reports2017
Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- The Difference Neuron-a new spiking neuron model.Biological cybernetics · 2026Article
- Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network.Journal of computational neuroscience · 2026Article
- Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network.bioRxiv : the preprint server for biology · 2025Article
- Nonlinear Dendritic Integration Supports Up-Down States in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Firing rate distributions in plastic networks of spiking neurons.Network neuroscience (Cambridge, Mass.) · 2025Article
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Article
- 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
- Sevoflurane-induced high-frequency oscillations, effective connectivity and intraoperative classification of epileptic brain areas.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.PLoS computational biology · 2022Article
- Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Modelling the modulation of cortical Up-Down state switching by astrocytes.PLoS computational biology · 2022Article
- Differential Excitability of PV and SST Neurons Results in Distinct Functional Roles in Inhibition Stabilization of Up States.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep.Frontiers in computational neuroscience · 2021Article
- Response nonlinearities in networks of spiking neurons.PLoS computational biology · 2020Article
- Biophysically grounded mean-field models of neural populations under electrical stimulation.PLoS computational biology · 2020Article
- Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variability.Frontiers in systems neuroscience · 2020Article
- Bridging Single Neuron Dynamics to Global Brain States.Frontiers in systems neuroscience · 2019Article
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2 authors.
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Abstract
Electrophysiological recordings in cortex in vivo have revealed a rich variety of dynamical regimes ranging from irregular asynchronous states to a diversity of synchronized states, depending on species, anesthesia, and external stimulation. The average population firing rate in these states is typically low. We study analytically and numerically a network of sparsely connected excitatory and inhibitory integrate-and-fire neurons in the inhibition-dominated, low firing rate regime. For sufficiently high values of the external input, the network exhibits an asynchronous low firing frequency state (L). Depending on synaptic time constants, we show that two scenarios may occur when external inputs are decreased: (1) the L state can destabilize through a Hopf bifucation as the external input is decreased, leading to synchronized oscillations spanning d δ to β frequencies; (2) the network can reach a bistable region, between the low firing frequency network state (L) and a quiescent one (Q). Adding an adaptation current to excitatory neurons leads to spontaneous alternations between L and Q states, similar to experimental observations on UP and DOWN states alternations.
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