IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v195y2025ics0960077925003388.html
   My bibliography  Save this article

Temperature effects on the neuronal dynamics and Hamilton energy

Author

Listed:
  • Xie, Ying
  • Ye, Zhiqiu
  • Wang, Xueqin
  • Jia, Ya
  • Hu, Xueyan
  • Li, Xuening

Abstract

Neurons require suitable temperature to function, and temperature is a key factor influencing neuronal responses and energy dynamics. However, it is still unclear how temperature intensity and duration impose effect on the neuronal dynamics. To fill this gap, a thermistor is introduced into a memristive FitzHugh-Nagumo neural circuit for temperature perception (T_mFHN). The results reveal that the temperature stimulation induce different energy coding mechanisms in neurons, and the bursting-type neuron maintains higher energy levels than chaotic-type neurons. Notably, the energy of bursting-type neurons is higher than the energy maintained by chaotic-type neurons. Under low-temperature-scale, energy remains stable regardless of the duration of the temperature stimulus, but it increases without temperature in chaotic-type neurons. Additionally, temperature fluctuations shorten the setup time for synchronization and energy balance in the coupled systems. Remarkably, a brief duration of temperature stimulation induces synchronization, which remains stable and robust even without temperature stimulation under certain conditions. These findings provide valuable insights into how temperature influences neuronal dynamics and energy properties, and it offers guidance for designing neural networks with optimized temperature intensities and durations.

Suggested Citation

  • Xie, Ying & Ye, Zhiqiu & Wang, Xueqin & Jia, Ya & Hu, Xueyan & Li, Xuening, 2025. "Temperature effects on the neuronal dynamics and Hamilton energy," Chaos, Solitons & Fractals, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:chsofr:v:195:y:2025:i:c:s0960077925003388
    DOI: 10.1016/j.chaos.2025.116325
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925003388
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116325?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Fuqiang & Kang, Ting & Shao, Yan & Wang, Qingyun, 2023. "Stability of Hopfield neural network with resistive and magnetic coupling," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    2. Pawel Tacikowski & Güldamla Kalender & Davide Ciliberti & Itzhak Fried, 2024. "Human hippocampal and entorhinal neurons encode the temporal structure of experience," Nature, Nature, vol. 635(8037), pages 160-167, November.
    3. Liu, Shuang & Xu, Tianwei & Wang, Qingyun & Yang, Yan, 2024. "The impulsive synchronization of multiplex networks with mixed delays and dual uncertainties," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 219(C), pages 141-163.
    4. Xie, Ying & Huang, Weifang & Jia, Ya & Ye, Zhiqiu & Wu, Yong, 2024. "Collective behaviors of neural network regulated by the spatially distributed stimuli," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    5. Yao, Zhao & Sun, Kehui & Wang, Huihai, 2024. "Collective behaviors of fractional-order FithzHugh–Nagumo network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    6. Sebastian Reinartz & Arash Fassihi & Maria Ravera & Luciano Paz & Francesca Pulecchi & Marco Gigante & Mathew E. Diamond, 2024. "Direct contribution of the sensory cortex to the judgment of stimulus duration," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. Mbeunga, N.K. & Nana, B. & Woafo, P., 2021. "Dynamics of array mechanical arms coupled each to a Fitzhugh-Nagumo neuron," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    8. Zhu, Zhigang & Ren, Guodong & Zhang, Xiaofeng & Ma, Jun, 2021. "Effects of multiplicative-noise and coupling on synchronization in thermosensitive neural circuits," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    9. Yao, Zhao & Sun, Kehui & He, Shaobo, 2024. "Energy variation rate synchronization for coupled chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    10. Guo, Yitong & Wang, Chunni & Ma, Jun, 2024. "Jointed pendulums driven by a neural circuit, electromechanical arm model approach," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xie, Ying & Huang, Weifang & Jia, Ya & Ye, Zhiqiu & Wu, Yong, 2024. "Collective behaviors of neural network regulated by the spatially distributed stimuli," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    2. Shao, Yan & Wu, Fuqiang & Wang, Qingyun, 2025. "Excitability and synchronization of vanadium dioxide memristor-inspired neurons," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 233(C), pages 99-116.
    3. Xing, Miaomiao & Song, Xinlin & Wang, Hengtong & Yang, Zhuoqin & Chen, Yong, 2022. "Frequency synchronization and excitabilities of two coupled heterogeneous Morris-Lecar neurons," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    4. Chen, Yixuan & Guo, Qun & Zhang, Xiaofeng & Wang, Chunni, 2024. "Numerical approach and physical description for a two-capacitive neuron and its adaptive network dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    5. Wang, Chunhua & Li, Yufei & Deng, Quanli, 2025. "Discrete-time fractional-order local active memristor-based Hopfield neural network and its FPGA implementation," Chaos, Solitons & Fractals, Elsevier, vol. 193(C).
    6. Zhou, Shu & Cheng, Zebang & Huang, Guodong & Zhu, Rui & Chai, Yuan, 2024. "Synchronization evaluation of memristive photosensitive neurons in multi-neuronal systems," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    7. Guo, Yitong & Wang, Chunni & Ma, Jun, 2024. "Jointed pendulums driven by a neural circuit, electromechanical arm model approach," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    8. Yao, Zhao & Sun, Kehui & He, Shaobo, 2024. "Energy variation rate synchronization for coupled chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    9. Li Zhang & Wuyin Jin & Guolong Chen, 2025. "Amplitude control and offset boosting of motion in the neuron-driven mechanical arm," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 98(4), pages 1-13, April.
    10. Ma, Jun & Guo, Yitong, 2024. "Model approach of electromechanical arm interacted with neural circuit, a minireview," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    11. Valeria Centanino & Gianfranco Fortunato & Domenica Bueti, 2024. "The neural link between stimulus duration and spatial location in the human visual hierarchy," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    12. Huang, Weifang & Wu, Yong & Ding, Qianming & Jia, Ya & Xie, Ying & Hu, Yipeng, 2025. "Synchronization behavior of memristive FitzHugh-Nagumo neurons in time-varying networks under external stimuli," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    13. Shao, Yan & Wu, Fuqiang & Wang, Qingyun, 2024. "Dynamics and stability of neural systems with indirect interactions involved energy levels," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    14. Chunhua Wang & Yufei Li & Gang Yang & Quanli Deng, 2025. "A Review of Fractional-Order Chaotic Systems of Memristive Neural Networks," Mathematics, MDPI, vol. 13(10), pages 1-22, May.
    15. Zhang, Li & Jin, Wuyin, 2025. "Selective response of artificial muscles to multiple stimuli under neural circuit control," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:195:y:2025:i:c:s0960077925003388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.