Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review

C Bick, M Goodfellow, CR Laing… - The Journal of …, 2020 - Springer
Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

Phase reduction beyond the first order: The case of the mean-field complex Ginzburg-Landau equation

I León, D Pazó - Physical Review E, 2019 - APS
Phase reduction is a powerful technique that makes possible to describe the dynamics of a
weakly perturbed limit-cycle oscillator in terms of its phase. For ensembles of oscillators, a …

Exact mean-field theory explains the dual role of electrical synapses in collective synchronization

E Montbrió, D Pazó - Physical review letters, 2020 - APS
Electrical synapses play a major role in setting up neuronal synchronization, but the precise
mechanisms whereby these synapses contribute to synchrony are subtle and remain …

Population spiking and bursting in next-generation neural masses with spike-frequency adaptation

A Ferrara, D Angulo-Garcia, A Torcini, S Olmi - Physical Review E, 2023 - APS
Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account
the fatigue due to spike emissions and the consequent reduction of the firing activity. We …

Exact low-dimensional description for fast neural oscillations with low firing rates

P Clusella, E Montbrió - Physical Review E, 2024 - APS
Recently, low-dimensional models of neuronal activity have been exactly derived for large
networks of deterministic, quadratic integrate-and-fire (QIF) neurons. Such firing rate models …

Reduction methodology for fluctuation driven population dynamics

DS Goldobin, M Di Volo, A Torcini - Physical Review Letters, 2021 - APS
Lorentzian distributions have been largely employed in statistical mechanics to obtain exact
results for heterogeneous systems. Analytic continuation of these results is impossible even …

Exact neural mass model for synaptic-based working memory

H Taher, A Torcini, S Olmi - PLOS Computational Biology, 2020 - journals.plos.org
A synaptic theory of Working Memory (WM) has been developed in the last decade as a
possible alternative to the persistent spiking paradigm. In this context, we have developed a …

Exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networks

B Pietras, F Devalle, A Roxin, A Daffertshofer… - Physical Review E, 2019 - APS
Chemical and electrical synapses shape the dynamics of neuronal networks. Numerous
theoretical studies have investigated how each of these types of synapses contributes to the …

Cross frequency coupling in next generation inhibitory neural mass models

A Ceni, S Olmi, A Torcini… - Chaos: An Interdisciplinary …, 2020 - pubs.aip.org
Coupling among neural rhythms is one of the most important mechanisms at the basis of
cognitive processes in the brain. In this study, we consider a neural mass model, rigorously …

Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons

H Bi, M Segneri, M Di Volo, A Torcini - Physical Review Research, 2020 - APS
Oscillations are a hallmark of neural population activity in various brain regions with a
spectrum covering a wide range of frequencies. Within this spectrum γ oscillations have …