A simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities
View/ Open
Publisher version (Check access options)
Check access options
Date
2022-04-21Author
Alireza, BahramianRamadoss, Janarthanan
Nazarimehr, Fahimeh
Rajagopal, Karthikeyan
Jafari, Sajad
Hussain, Iqtadar
...show more authors ...show less authors
Metadata
Show full item recordAbstract
This paper introduces a simple 1-dimensional map-based model of spiking neurons. During the past decades, dynamical models of neurons have been used to investigate the biology of human nervous systems. The models simulate experimental records of neurons’ voltages using difference or differential equations. Difference neuronal models have some advantages besides the differential ones. They are usually simpler, and considering the cost of needed computations, they are more efficient. In this paper, a simple 1-dimensional map-based model of spiking neurons is introduced. Sample entropy is applied to analyze the complexity of the model’s dynamics. The model can generate a wide range of time series with different firing rates and different levels of complexities. Besides, using some tools like bifurcation diagrams and cobwebs, the introduced model is analyzed.
Collections
- Mathematics, Statistics & Physics [737 items ]