scholarly journals Channel Density Regulation of Firing Patterns in a Cortical Neuron Model

2006 ◽  
Vol 90 (12) ◽  
pp. 4392-4404 ◽  
Author(s):  
P. Århem ◽  
G. Klement ◽  
C. Blomberg
2019 ◽  
Vol 29 (01) ◽  
pp. 1950006 ◽  
Author(s):  
Han Bao ◽  
Aihuang Hu ◽  
Wenbo Liu

In this paper, a bipolar pulse (BP) current is taken to mimic a periodic stimulus effect on the membrane potential in the axon of a neuron. By introducing the BP current to substitute the externally applied constant current, a BP-forced two-dimensional Hindmarsh–Rose (HR) neuron model is proposed. Based on the proposed neuron model, the BP-switched equilibrium point and its stability evolution with the periodic variation in time are explored. Furthermore, coexisting asymmetric attractors (or coexisting firing patterns) with bistability are revealed by phase plane orbits, time sequences, and attraction basins, as well as the BP-induced coexisting asymmetric attractors’ behaviors are then elaborated through bifurcation analysis. The research results exhibit that, with the increase of the time, the stabilities of the neuron model are continually switched between an unstable node-focus and a stable point, resulting in the coexisting behaviors of numerous asymmetric attractors under the specified initials. Consequently, the newly introduced BP current stimulus, instead of the original constant current stimulus, allows the two-dimensional HR neuron model to possess complex dynamical behaviors for the membrane potential. Additionally, a hardware breadboard is fabricated and circuit experiments are carried out to validate the numerical simulations.


2019 ◽  
Vol 96 (4) ◽  
pp. 2341-2350 ◽  
Author(s):  
Xinlin Song ◽  
Hengtong Wang ◽  
Yong Chen
Keyword(s):  

2012 ◽  
Vol 107 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Y. Qi ◽  
A. L. Watts ◽  
J. W. Kim ◽  
P. A. Robinson

2021 ◽  
Vol 31 (11) ◽  
pp. 2150170
Author(s):  
Guoyuan Qi ◽  
Yu Wu ◽  
Jianbing Hu

Improving the neuron model and studying its electrical activities according to the real biophysical environment are significant in human cognitive brain activity and neural behavior. The complex transmembrane motion of ions on the neuronal cell membrane can establish time-varying electromagnetic fields and affect the transition firing patterns of neurons. In this paper, a threshold memristor is used to describe the electromagnetic induction and magnetic field effects of neuron cell membrane ion exchange to improve the neuron model, and a memristive Morris–Lecar (mM–L) neuron model is proposed. Numerical simulation confirms that different intensities of electromagnetic fields can produce distinct pattern transitions in electrical activities of the neuron, such as periodic bursting, periodic spiking, chaotic bursting. From the perspective of neuron’s interspike interval (ISI), the ISIs bifurcation in the multiparameter planes, ISIs firing periods, the variance of ISIs and other methods are used to find the trend of the mM–L neuron firing pattern transition. Finally, based on the 4D nonlinear differential equation of the mM–L neuron model, the complete electronic implementation of the model is designed. The output of the designed circuit is consistent with the theoretical prediction, which is extremely useful for studying the dynamics of a single neuron.


2009 ◽  
Vol 10 (S1) ◽  
Author(s):  
Ryota Kobayashi ◽  
Yasuhiro Tshubo ◽  
Shigeru Shinomoto

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