Skip to Main content Skip to Navigation
Journal articles

Cross frequency coupling in next generation inhibitory neural mass models

Abstract : In healthy conditions, the brain’s activity reveals a series of intermingled oscillations, generated by large ensembles of neurons, which provide a func-tional substrate for information processing. How single neuron properties influence neuronal population dynamics is an unsolved question, whose solution could help in the understanding of the emergent collective behaviors arising during cognitive processes Here we consider a neural massmodel, which reproduces exactly the macroscopic activity of a network of spiking neurons. This mean-field model is employed to shade some lighton an important and ubiquitous neural mechanism underlying information processing in the brain: theθ-γcross-frequency coupling.In particular, we will explore in detail the conditions under which two coupled inhibitory neural populations can generate these functionally relevant coupled rhythms.
Complete list of metadata

https://hal.inria.fr/hal-02972582
Contributor : Simona Olmi Connect in order to contact the contributor
Submitted on : Tuesday, October 20, 2020 - 3:01:53 PM
Last modification on : Monday, January 25, 2021 - 2:38:02 PM

Links full text

Identifiers

Citation

Andrea Ceni, Simona Olmi, Alessandro Torcini, David Angulo-Garcia. Cross frequency coupling in next generation inhibitory neural mass models. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2020, 30 (5), pp.053121. ⟨10.1063/1.5125216⟩. ⟨hal-02972582⟩

Share

Metrics

Record views

45