Litcius/Paper detail

Analog implementation of a Hodgkin–Huxley model neuron

G. H. Rutherford, Zachary Mobille, Jordan Brandt-Trainer, Rosangela Follmann, Epaminondas Rosa

2020American Journal of Physics25 citationsDOI

Abstract

We construct an electronic circuit for mimicking a single neuron's behavior in connection with the dynamics of the Hodgkin–Huxley mathematical model. Our results show that the electronic neuron, even though it contains binary-state circuitry components, displays a timing interplay between the ion channels, which is consistent with the corresponding timing encountered in the model equations. This is at the core of the mechanism determining not only the creation of action potentials but also the neuronal firing rate output. This work is suitable for educational purposes in physics, mathematical modeling, electronics, and neurophysiology and can be extended for implementation in networked neurons for more advanced studies of neuronal behaviors.

Topics & Concepts

Hodgkin–Huxley modelBiological neuron modelPhysicsNeurophysiologyElectronicsNeuronNeuroscienceConnection (principal bundle)Mechanism (biology)Work (physics)Action (physics)Computer scienceElectrical engineeringMechanical engineeringQuantum mechanicsBiologyEngineeringstochastic dynamics and bifurcationNeural dynamics and brain functionAdvanced Memory and Neural Computing