Well, it is technically differential equations, but with weighted inputs like a NN. Here’s the equations

for each node (gene/morphogen) i. zi is the concentration of morphogen i, zj is that of j. f(x) is the sigmoid function, k1 is the maximum rate of expression, k2 is the degradation rate, b is the bias. wij is the weight for an edge from j to i.

This is just written in python, so the network is defined by a matrix with each number representing the weight between two of the edges. I ignore the edge if it’s weight is zero.

What are the standard symbols for genetic circuits?

edit: sorry it’s impossible to see the equations if you have a black background.

Damn, that’s cool.

Here’s the same 3 morphogen periodic clock network implemented in python https://diode.zone/w/9ApBpVcU5CnCbbTu3Lcegw