journal article·2019-06-01Open access

Bursting analysis for the pre-Bötzinger complex with periodic forcing

Pan Meng, Jianwei Dong, Quanbao Ji

AIP Advances· Volume 9· Issue 6

Abstract

Pre-Bötzinger complex is considered to have a closely relationship with the respiratory rhythms. In this paper, we investigate the bursting phenomena of the pre-Bötzinger complex respiratory neuron with periodic slow stimulation. Since the external forcing visit the spiking and rest areas in different ways, thus the system could generate various complex bursting patterns. With the external forcing is taken as a slow variable that modulates the dynamics of the system, different types of bursting are distinguished and the generation mechanism is explored by using the combination of two parameter bifurcation analysis and fast slow decomposition. Our results show that both the external forcing and the neural intrinsic property play an important role in neural activities.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience of respiration and sleep · stochastic dynamics and bifurcation · Circadian rhythm and melatonin

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Medical Information Engineering, Guangdong Pharmaceutical University 1 , Guangzhou 510006, China

School of Financial Science, Huainan Normal University 2 , Huainan 232038, China

Funding

Guanddong Province Medical Science and Technology Research Fund Project · Guangdong Province Data Science and Engineering Research Center's Open Fund Project · Natural Science Foundation for the Higher Education Institutions of Anhui Province of China · Youth Innovation Talents Project of Colleges and Universities in Guangdong Province · National Natural Science Foundation of China · National Natural Science Foundation of China-Yunnan Joint Fund

References (12)

Show source-provided references
1. Science · 1991 · 254 · 72610.1126/science.1683005 ↗
2. J. Neuro. Phys. · 2009 · 101 · 214610.1152/jn.90958.2008 ↗
3. Science · 1999 · 286 · 156610.1126/science.286.5444.1566 ↗
4. J. Comp. Neurosc. · 2016 · 41 · 24510.1007/s10827-016-0616-6 ↗
5. Int. J. Bifurcat. Chaos. · 2016 · 26 · 165016210.1142/s0218127416501625 ↗
6. Int. J. Bifurcat. Chaos. · 2017 · 27 · 175001010.1142/s0218127417500109 ↗
7. Int. J. Bifurcat. Chaos. · 2000 · 10 · 117110.1142/s0218127400000840 ↗
8. Nonlinear. Dyn. · 2018 · 94 · 196110.1007/s11071-018-4468-7 ↗
9. Commun. Nonlinear. Sci. Numer. Simulat. · 2011 · 16 · 414610.1016/j.cnsns.2011.02.021 ↗
10. Chin. Phy. Lett. · 2011 · 28 · 09020110.1088/0256-307x/28/9/090201 ↗
11. J. Neurophysiol · 1999 · 82 · 38210.1152/jn.1999.82.1.382 ↗
12. J. Stat. Phys. · 1987 · 48 · 105910.1007/bf01009533 ↗