ANALOG IMPLEMENTATION OF THE HODGKIN-HUXLEY MODEL NEURON
Neurons, the cells in the brain which are thought to handle information processing, are extremely complicated objects. There has been much progress in the realm of both analyzing neurons physiologically, but also modeling them mathematically. In this study, we focus on the classical model introduced by Alan Hodgkin and Andrew Huxley in 1952. By performing both computer simulations of their model and constructing an electronic circuit that behaves analogously to the Hodgkin-Huxley neuron, we are working toward an understanding of neurons on two fronts. The implementation of the mathematical model is well-suited for comprehending the cells from a dynamical systems perspective, often leading to qualitative insights in regard to the wide array of possible behaviors demonstrated by biological neurons. The electronic neuron is a physical realization of the Hodgkin-Huxley dynamics in the form of a circuit. We provide some theoretical background to the Hodgkin-Huxley model, discuss the design of the electronic neuron, and compare data from the associated circuit with data obtained from numerical simulations.
Mobile, Zach, "ANALOG IMPLEMENTATION OF THE HODGKIN-HUXLEY MODEL NEURON" (2019). University Research Symposium. 331.