https://doi.org/10.1140/epjs/s11734-022-00721-4
Regular Article
Actuating mechanical arms coupled to an array of FitzHugh–Nagumo neuron circuits
1
Department of Physics, Faculty of Science, University of Bamenda, P.O. Box 39, Bamenda, Cameroon
2
Center for Nonlinear Systems, Chennai Institute of Technology, 600069, Chennai, Tamilnadu, India
3
Department of Physics, Higher Teacher Training College, University of Bamenda, P.O. Box 39, Bamenda, Cameroon
4
Laboratory of Mechanics and Modelling of Physical Systems (L2MPS), Department of Physics, Faculty of Science, University of Dschang, P. O. Box: 67, Dschang, Cameroon
5
Department of Mechanical, Petroleum and Gas Engineering, National Advanced School of Mines and Petroleum Industries, University of Maroua, P.O. Box 46, Maroua, Cameroon
6
Department of Mechanical and Industrial Engineering, National Higher Polytechnic Institute, University of Bamenda, P.O. Box 39, Bamenda, Cameroon
Received:
31
July
2022
Accepted:
7
November
2022
Published online:
21
November
2022
The paper is aimed at mimicking the motion of myriapods by using an array of mechanical arms coupled to an array of FitzHugh–Nagumo (FN) neuron circuits. The differential equation depicting the electromechanical system is achieved by using Kirchhoff’s and Newton’s laws. The system parameters are sensitive to the stability of the system as shown by numerical simulations such that for different ranges of the stimulation current, the array of the FN neuron circuit coupled to a single mechanical arm is either in the non-excitable state, excitable state or in the oscillatory state. For the values of the stimulation current in the excitable state, an action potential (AP) achieved produced an excitation greater enough to actuate significantly the mechanical leg. In the excitable state, the action of the magnetic signal on the single mechanical arm increases the amplitude of the instantaneous displacement of the legs. The array of the coupled electromechanical system in the excitable state produces an AP for the different values of the legs having the same behavior as shown by numerical simulations, which implied that neurons communicate without loss of amplitude when in the permanent regime. This behavior is similar to the instantaneous displacement of the mechanical legs, hence depicting the straightforward motion of myriapods without rotation. Finally, the velocities of the propagation of nerve impulses and that of the displacement of legs are quantitatively the same.
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