English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Complex bifurcation structures in a Hodgkin-Huxley model of thermally sensitive neurons under periodic perturbation

Authors

Boaretto,  Bruno R. R.
External Organizations;

/persons/resource/Paulo.Protachevicz

Protachevicz,  Paulo R.
Potsdam Institute for Climate Impact Research;

Hansen,  Matheus
External Organizations;

Medrano-T.,  Rene O.
External Organizations;

Macau,  Elbert E. N.
External Organizations;

Grebogi,  Celso
External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Boaretto, B. R. R., Protachevicz, P. R., Hansen, M., Medrano-T., R. O., Macau, E. E. N., Grebogi, C. (2025): Complex bifurcation structures in a Hodgkin-Huxley model of thermally sensitive neurons under periodic perturbation. - Physical Review E, 111, 5, L052203.
https://doi.org/10.1103/PhysRevE.111.L052203


Cite as: https://publications.pik-potsdam.de/pubman/item/item_33455
Abstract
In this study, we identify an intricate class of periodic behavior, coined as “fishbone,” within the chaotic dynamics induced by external periodic disturbances in a neuronal system. Alongside this structure, we observe well-known patterns such as shrimps and cockroaches, revealing the system's sensitivity to external perturbations. Notably, our work highlights the significant impact of altering biophysical parameters, showing that changes in the ionic conductance of neurons can lead to the cohesion or detachment of complex periodic structures from the primary fishbone-shaped structure. This finding underscores the role of ionic channels in shaping neuronal responses, which is relevant given their involvement in various neuronal disorders. Furthermore, our study provides insights into how external perturbations influence neuron signal processing.