>ANNs are built out of neurons. BNNs are built out of neurons too.
are imprecise and possibly imprecise enough to be also incorrect if it turns out that biological neurons do something different than perceptrons that is important. Without making the exact arguments and presenting evidence in what respects the perceptron model is useful, it is quite easy to bake in conclusions along the lines of “this algorithm for ANNs is a good model of biology” in the assumptions “both are built out of neurons”.
There is no relationship between neurons and the “neurons” of an ANN. It’s just a naming mishap at this point.
Incorrect. Perceptrons are a low fidelity (but still incredibly useful!) rate-encoded model of individual neurons.
Sure, but statements like
>ANNs are built out of neurons. BNNs are built out of neurons too.
are imprecise and possibly imprecise enough to be also incorrect if it turns out that biological neurons do something different than perceptrons that is important. Without making the exact arguments and presenting evidence in what respects the perceptron model is useful, it is quite easy to bake in conclusions along the lines of “this algorithm for ANNs is a good model of biology” in the assumptions “both are built out of neurons”.