Asymmetric effects of fractional orders on synchronization in a periodically forced FitzHugh–Nagumo system
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. • Distinct fractional orders model asymmetric memory in a neuron. • Memory in the fast voltage variable simplifies neuronal firing dynamics. • Memory in the slow recovery variable re-tunes resonant frequencies. • Memory asymmetry may modulate complexity and frequency tuning in neurons.
Authors
- Inga Telksnienė (ORCID: https://orcid.org/0000-0002-0224-4725)
- Miguel A. Prado Reynoso (ORCID: https://orcid.org/0009-0000-8983-1158)
- Raimondas Čiegis (ORCID: https://orcid.org/0000-0002-3262-3048)
- Miguel A. F. Sanjuán (ORCID: https://orcid.org/0000-0003-3515-0837)
- Mattia Coccolo (ORCID: https://orcid.org/0000-0002-4600-8206)
Institutions
- Vilnius Gediminas Technical University (LT)
- Universidad Rey Juan Carlos (ES)
Publication Details
- Journal
- Chaos Solitons & Fractals
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1016/j.chaos.2025.117475
- Primary Topic
- Chaos control and synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00