Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons
| Autor: | Alessandro Torcini, Matteo di Volo, Hongjie Bi, Marco Segneri |
|---|---|
| Přispěvatelé: | Laboratoire de Physique Théorique et Modélisation (LPTM - UMR 8089), CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS), CY Cergy Paris Université (CY), ANR-18-CE37-0014,ERMUNDY,Réduction exacte de la dynamique neuronale multi-échelle(2018), ANR 11-LBX-0023-01,MME-DII,Modèles Mathématiques et Economiques de la Dynamique, de l'Incertitude et des Interactions(2012), ANR-16-IDEX-0008,PSI,PSI(2016) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Population
FOS: Physical sciences Neural population Inhibitory postsynaptic potential 01 natural sciences Radio spectrum Tonic (physiology) 03 medical and health sciences Neural activity 0302 clinical medicine Rhythm 0103 physical sciences [PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn] 010306 general physics [NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO] education 030304 developmental biology Physics 0303 health sciences education.field_of_study Forcing (recursion theory) Quantitative Biology::Neurons and Cognition [SCCO.NEUR]Cognitive science/Neuroscience Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Network dynamics 3. Good health Amplitude Quantum electrodynamics FOS: Biological sciences Quantitative Biology - Neurons and Cognition Neurons and Cognition (q-bio.NC) [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] Biological system Excitation 030217 neurology & neurosurgery |
| Zdroj: | Physical Review Research Physical Review Research, American Physical Society, 2020, 2 (1), ⟨10.1103/PhysRevResearch.2.013042⟩ |
| ISSN: | 2643-1564 |
| DOI: | 10.1103/PhysRevResearch.2.013042⟩ |
| Popis: | Oscillations are a hallmark of neural population activity in various brain regions with a spectrum covering a wide range of frequencies. Within this spectrum gamma oscillations have received particular attention due to their ubiquitous nature and to their correlation with higher brain functions. Recently, it has been reported that gamma oscillations in the hippocampus of behaving rodents are segregated in two distinct frequency bands: slow and fast. These two gamma rhythms correspond to dfferent states of the network, but their origin has been not yet clarified. Here, we show theoretically and numerically that a single inhibitory population can give rise to coexisting slow and fast gamma rhythms corresponding to collective oscillations of a balanced spiking network. The slow and fast gamma rhythms are generated via two different mechanisms: the fast one being driven by the coordinated tonic neural firing and the slow one by endogenous fluctuations due to irregular neural activity. We show that almost instantaneous stimulations can switch the collective gamma oscillations from slow to fast and vice versa. Furthermore, to make a closer contact with the experimental observations, we consider the modulation of the gamma rhythms induced by a slower (theta) rhythm driving the network dynamics. In this context, depending on the strength of the forcing, we observe phase-amplitude and phase-phase coupling between the fast and slow gamma oscillations and the theta forcing. Phase-phase coupling reveals different theta-phases preferences for the two coexisting gamma rhythms. 20 pages, 14 figures |
| Databáze: | OpenAIRE |
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