Export citation

Export citation

Choose format for download:

Download Citation

    Dynamical diversity in conductance-based neuron response to kilohertz electrical stimulation

    J. G. Polli1,2, F. Kolbl2,*, P. Lanusse2, and M. G. E. da Luz1,†

    • 1Departamento de Física, Multidisciplinary Laboratory for Modeling and Analysis of Data in Complex Systems (MADComplex), Núcleo de Modelagem e Computação Científica-Centro Inerdisciplinar de Ciência, Tecnologia e Inovação, Universidade Federal do Paraná, 81531-980 Curitiba-PR, Brazil
    • 2IMS Lab, CNRS UMR 5218, University of Bordeaux, Bordeaux INP, Talence, France

    • *Contact author: florian.kolbl@ims-bordeaux.fr
    • †Contact author: luz@fisica.ufpr.br

    Phys. Rev. E 113, 044411 – Published 13 April, 2026

    DOI: https://doi.org/10.1103/qj5f-f4d5

    Abstract

    Neurons are notably rich in structure and functioning, so rather diverse in their response to stimuli. Consequently, the proper characterization of their dynamical response to external signals is a crucial step in understanding stimulation mechanisms. In particular, kilohertz (kHz) neuronal electrical stimulation tends to induce comportment and drives unseen in (more conventional) lower frequency ranges. Here, we investigate neuronal response of conductance-based models to kHz frequencies stimulation in a broad and often unexplored parameter space region. First, we show that the time evolution exhibited by the paradigmatic Hodgkin-Huxley model under kilohertz stimulation is highly diverse, ranging from regular spiking to chaotic dynamics, as well as displaying regions of complete activity suppression. However, to unveil all these features, a certain level of technical caution is required. For example, we demonstrate that common simplifications of sodium dynamics become inaccurate under these frequency regimes. Also, based on suitable markers, we propose a method for mapping the mentioned behaviors on a stimulation parameter space. Second, by extending the study to models of mammalian central nervous system regions, a comprehensive dynamical atlas is obtained. It provides a rather systematic way to typify the response of rapidly forced conductance-based neurons. Thus, the present findings seems to point to an useful scheme for stimulation-based computational neuroscience research at kilohertz frequencies.

    Physics Subject Headings (PhySH)

    Authorization Required

    We need you to provide your credentials before accessing this content.

    Supplemental Material (Subscription Required)

    References (Subscription Required)

    Outline

    Information

    Sign In to Your Journals Account

    Filter

    Filter

    Article Lookup

    Enter a citation