FHN-ThresholdCert: interval-arithmetic software for certifying periodic orbits and firing thresholds of the FitzHugh–Nagumo neuron

FHN-ThresholdCert is a small C++ and Python package that produces computer-assisted proofs about periodic orbits of the FitzHugh–Nagumo (FHN) neuron model. For every parameter interval it either returns a certificate or reports failure; a certificate proves, up to the correctness of the implementation and of IEEE interval arithmetic, that a periodic orbit exists, is locally unique on a Poincaré section, is hyperbolic, and has a period and a section crossing inside explicit intervals. The core is an interval-arithmetic kernel with directed rounding, validated Taylor integration of order 20–24, an order-one Taylor model in the initial condition and the parameter that controls the wrapping effect, and the Krawczyk operator applied to the first-return map. The package certifies the repelling "threshold" cycle of the FHN model by integrating in backward time on a transversal ray through the resting state, and records rigorous bounds that turn the certificate into a statement about voltage kicks. It also contains an exact-arithmetic computation of the first Lyapunov coefficient and floating-point cross-checks. The archived snapshot (11,688 certificates, raw output of two independent passes, scripts and figure) is available on Zenodo. Software descriptor prepared for submission to the Journal of Data- and Knowledge-integrated Simulation Science (JoDaKISS).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23856550
Primary Topic
Advanced Differential Equations and Dynamical Systems
Type
preprint
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preprint

FHN-ThresholdCert: interval-arithmetic software for certifying periodic orbits and firing thresholds of the FitzHugh–Nagumo neuron

Luca Eliseo Pavesi
Zenodo (CERN European Organization for Nuclear Research)
Advanced Differential Equations and Dynamical Systems
preprint

FHN-ThresholdCert: interval-arithmetic software for certifying periodic orbits and firing thresholds of the FitzHugh–Nagumo neuron

Luca Eliseo Pavesi
preprint en

Abstract

FHN-ThresholdCert is a small C++ and Python package that produces computer-assisted proofs about periodic orbits of the FitzHugh–Nagumo (FHN) neuron model. For every parameter interval it either returns a certificate or reports failure; a certificate proves, up to the correctness of the implementation and of IEEE interval arithmetic, that a periodic orbit exists, is locally unique on a Poincaré section, is hyperbolic, and has a period and a section crossing inside explicit intervals. The core is an interval-arithmetic kernel with directed rounding, validated Taylor integration of order 20–24, an order-one Taylor model in the initial condition and the parameter that controls the wrapping effect, and the Krawczyk operator applied to the first-return map. The package certifies the repelling "threshold" cycle of the FHN model by integrating in backward time on a transversal ray through the resting state, and records rigorous bounds that turn the certificate into a statement about voltage kicks. It also contains an exact-arithmetic computation of the first Lyapunov coefficient and floating-point cross-checks. The archived snapshot (11,688 certificates, raw output of two independent passes, scripts and figure) is available on Zenodo. Software descriptor prepared for submission to the Journal of Data- and Knowledge-integrated Simulation Science (JoDaKISS).

Zenodo (CERN European Organization for Nuclear Research)
Advanced Differential Equations and Dynamical Systems
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