Journal
PHYSICAL REVIEW LETTERS
Volume 120, Issue 24, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.120.244101
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Funding
- MINECO (Spain) [FIS2016-74957-P, PSI2016-75688-P, PCIN-2015-127]
- European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant [642563]
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The Kuramoto model (KM) is a theoretical paradigm for investigating the emergence of rhythmic activity in large populations of oscillators. A remarkable example of rhythmogenesis is the feedback loop between excitatory (E) and inhibitory (I) cells in large neuronal networks. Yet, although the EI-feedback mechanism plays a central role in the generation of brain oscillations, it remains unexplored whether the KM has enough biological realism to describe it. Here we derive a two-population KM that fully accounts for the onset of EI-based neuronal rhythms and that, as the original KM, is analytically solvable to a large extent. Our results provide a powerful theoretical tool for the analysis of large-scale neuronal oscillations.
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