You make a functional model of a neuron that can behave over time like other neurons do. Then you get all the synapses and their weights. The synapses and their weights are a starting point, and your neural model is the function that produces subsequent states.

Problem is brians don’t have “clock cycles”, at least not as strictly as artificial neural networks do.