ArticleJournal of computational neuroscience2024
A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons.
Article in Journal of computational neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations.PLoS computational biology · 2026Article
- Biologically realistic mean field model of spiking neural networks with fast and slow inhibitory synapses.Journal of computational neuroscience · 2025Article
- A burst-dependent thalamocortical substrate for perceptual awareness.PLoS computational biology · 2025Article
- Bursting gamma oscillations in neural mass models.Frontiers in computational neuroscience · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
Gamma oscillations are widely seen in the cerebral cortex in different states of the wake-sleep cycle and are thought to play a role in sensory processing and cognition. Here, we study the emergence of gamma oscillations at two levels, in networks of spiking neurons, and a mean-field model. At the network level, we consider two different mechanisms to generate gamma oscillations and show that they are best seen if one takes into account the synaptic delay between neurons. At the mean-field level, we show that, by introducing delays, the mean-field can also produce gamma oscillations. The mean-field matches the mean activity of excitatory and inhibitory populations of the spiking network, as well as their oscillation frequencies, for both mechanisms. This mean-field model of gamma oscillations should be a useful tool to investigate large-scale interactions through gamma oscillations in the brain.
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Registered trials
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