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.
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.