Neurofrontiers

A few weeks ago, I shared a differential equations tutorial for beginners, written from the perspective of a neuroscientist who's had to grapple with the computational part. Following up on that, I've now tackled the first real beast encountered by most computational neuroscience students: the Hodgkin-Huxley model.

While remaining incredibly elegant to this day, this model is also a mathematically dense system of equations that can overwhelm and discourage beginners, especially those with non-mathematical backgrounds. Similar to the first tutorial, I've tried to build intuition step-by-step, starting with a simple RC circuit, layering in Na⁺ and K⁺ channels, and ending with the full spike-generation story.

Feedback is welcome, especially from fellow non-math converts.
https://neurofrontiers.blog/building-a-virtual-neuron-2/

#ComputationalNeuroscience #Python #hodgkinHuxleyModel #math #biophysics

From: @neurofrontiers
https://neuromatch.social/@neurofrontiers/114150087773204813

Building a virtual neuron - part 2 - Neurofrontiers

Think neurons are simple? Think again. In this article, we tackle the Hodgkin-Huxley model from the ground up and live to tell the tale (barely).

Neurofrontiers
Apr 30 at 9:18amWeb
Show threadJanne MorenMay 1
@neurofrontiers
Small mistake: "as if the novel before" should be "as if the model before"?
Show threadNeurofrontiersMay 1
@jannem Haha, I can see now how that might be confusing, but nope, it was definitely “novel” (as in “book”), not “model”. I was just making a lighthearted comparison to how long the previous sections felt 😅