>Common Misconceptions: Neural networks work like brains. In fact, real neurons are much more complex than the simple units used in artificial neural networks;

>Common Misconceptions: Neural networks work like brains. In fact, real neurons are much more complex than the simple units used in artificial neural networks; there are many different types of neurons; real neural connectivity can change over time; the brain includes other mechanisms, besides communication among neurons, that affect behavior; and so on. I really have to disagree with this statement because it's actually broad and misleading. Yes, real neurons are more complex, but that doesn't mean that artificial neural networks are not capturing the important functional/computational properties or real neurons. In fact, you might even say that real neural networks are approximating the computational properties of artificial neural networks via a somewhat Rube Goldberg like process. If you actually look at the mathematics that functionally describe artificial neural networks it's the same math that describes gene regulatory networks. This is not a coincidence. This mathematical abstraction like a platonic computational system. In effect, evolution converged on this computing paradigm twice using the processes available at its disposal. The first was a chemical reaction network, the second was neurons. Moreover, if you actually study the computational properties of these networks you discover that most of the implementation details are actually irrelevant to the functional output and it's the topology of the network that's primarily driving the function. Not unlike how an engineer might recognize the A 8-bit added from the circuit-logic diagram. The problem that people have with artificial neural networks is that they're not spending enough time reverse engineering the salient properties of biological systems and instead they're trying to brute force AI with their mathematical brilliance. A lot of these questions disappear if you study the network architecture.