Asymmetric effects of fractional orders on synchronization in a periodically forced FitzHugh–Nagumo system
Inga Telksnienė,
Mattia Coccolo,
Miguel A. Prado-Reynoso,
Raimondas Čiegis and
Miguel A.F. Sanjuán
Chaos, Solitons & Fractals, 2026, vol. 202, issue P1
Abstract:
Synchronization of a neuron with a periodic external input is a fundamental process in neuroscience, critical for information processing, network coordination, and therapeutic neuromodulation. In this work, we use the periodically forced fractional-order FitzHugh–Nagumo system to investigate how this phenomenon is affected by memory asymmetry, modeled by distinct fractional orders, α and β, of the Caputo derivatives governing the voltage and recovery variables. The system is numerically explored across a biologically plausible range of forcing parameters to identify a spectrum of dynamical responses, including phase-locking, complex dynamics, and quiescence. Phase-locking structures (Arnold tongues) are systematically mapped using the rotation number and inter-spike interval statistics, revealing how the asymmetry in memory reshapes the entrainment landscape. We find that memory in the fast voltage variable has a simplifying effect, suppressing complex firing patterns and promoting 1:1 synchronization. In contrast, memory in the slow recovery variable regulates the system’s frequency preference, shifting the entire entrainment window. These results demonstrate that the fractional orders have distinct, non-interchangeable roles, suggesting that memory asymmetry could serve as a biophysical mechanism for modulating the complexity and frequency selectivity of neuronal response to rhythmic input, with potential relevance to neural processing and neuromodulation strategies.
Keywords: FitzHugh–Nagumo model; Fractional-order systems; Synchronization; Phase-locking; Arnold tongues; Neuronal dynamics; Computational neuroscience (search for similar items in EconPapers)
Date: 2026
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925014882
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925014882
DOI: 10.1016/j.chaos.2025.117475
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().