Energy computation and multiplier-less implementation of the two-dimensional FitzHugh–Nagumo (FHN) neural circuit

• Published in: The European physical journal. E, Soft matter and biological physics Vol. 46; no. 7; p. 60
• Main Authors: Tabekoueng Njitacke, Zeric, Sriram, Gokul, Rajagopal, Karthikeyan, Karthikeyan, Anitha, Awrejcewicz, Jan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023; Springer Nature B.V
• Subjects: Analog circuits; Biological and Medical Physics; Biophysics; Complex Fluids and Microfluidics; Complex Systems; Condensed matter physics; Multipliers; Nanotechnology; Physics; Physics and Astronomy; Polymer Sciences; Regular Article - Flowing Matter; Soft and Granular Matter; Surfaces and Interfaces; Thin Films

In this work, with the aim of reducing the cost of the implementation of the traditional 2D FHN neuron circuit, a pair of diodes connected in an anti-parallel direction is used to replace the usual cubic nonlinearity (implemented with two multipliers). Based on the stability of the model, the genera...