A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons.
J Comput Neurosci
; 52(2): 165-181, 2024 May.
Article
en En
| MEDLINE
| ID: mdl-38512693
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Potenciales de Acción
/
Ritmo Gamma
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Modelos Neurológicos
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Red Nerviosa
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Inhibición Neural
/
Neuronas
Límite:
Animals
/
Humans
Idioma:
En
Revista:
J Comput Neurosci
Asunto de la revista:
INFORMATICA MEDICA
/
NEUROLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Francia