Python Simulation Of The Hodgkin-Huxley Model | Clip

Описание

Welcome to Science With Tal!

In this clip of the Signal Propagation in the Neuron video, we will go through a simulation of the Hodgkin-Huxley model using Python.

To improve the quality of my content, I highly value the feedback from the viewer so do not hesitate to give any feedback in the comment section.

The original code that I’ve used to show the H&H model is not available anymore. Here is an alternative code that somewhat has the same structure and components:

https://gist.github.com/giuseppebonaccorso/60ce3eb3a829b94abf64ab2b7a56aaef

To get more information on the odeint module, consider watching this video:

https://www.youtube.com/watch?v=VV3BnroVjZo

Timestamps

0:00 Introduction
0:22 Python simulation
4:38 Conclusion

Resources used

Here is a list of the resources that I’ve used to produce this video. (Author: title resource)

Dale Purves: Neuroscience (6th edition)
Eric Kandel: Principles of neural science (6th edition)
Alan Hodgkin & Andrew Huxley: A quantitative description of membrane current and its application to conduction and excitation in nerve
Alan Hodgkin & William Albert Hugh Rushton: The electrical constants of a crustacean nerve fibre.

To have more information on these resources, you can refer to the conclusion section where a more formal citation is provided.

Video credits

Writing: Tal Klimenko
Voice: Tal Klimenko
Animations: Tal Klimenko
Drawings: Tal Klimenko
Editing: Tal Klimenko
Introductory jingle: Thierry Du Sablond
Conclusion music: lukrembo - jay (https://www.youtube.com/watch?v=1zmJ_4kGYUU)