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