neurons

Second, you have to understand the physiology of these neurons in order to simulate them.

It actually unwillingly represents the neurons in my brain that doesn't understand Chinese either.

With that in mind (no pun intended), what we're left to speculate is where that complex mass of neurons will venture.

We've already demonstrated digital components that approximate individual neurons, and we've already demonstrated wiring groups of them up to perform useful work.

The neurons in your hypothalamus that have receptors for insulin also have receptors for leptin, and unfortunately for us, they have commonalities in their signal transduction pathways.

Aren't they using enough neurons or procedural generation?

- Neurons with mechanosensory receptors can actually fire in response the dilation of a blood vessel pressing up against it [2].

Also should the flag manifold connection be correct, sensitivity to quark interactions is not required for bee neurons to construct a flag manifold, any more than it is for humans.

> and when the neurons grow that's increasing your potential brainpower No, not exactly.

Right - there's also no efficient algorithm for encoding chess positions into the electrical and chemical states of a couple of pounds of active neurons, and yet living humans seem to be able to play chess.

I suspect that there is some additional computational overhead needed to run the requisite biological processes in neurons but ANNs are astoundingly far from even a single neuron let alone a network of neurons (perceptrons are sometimes compared to dendritic branches and even that is a stretch).

This points to the strong possibility that all that biological complexity in neurons is completely irrelevant to the principles of intelligence, just like the fact that a modern transistor needs 500 parameters and a ton of complicated equations to describe its physical operation is irrelevant to its main function - a simple ON/OFF switch.

A brain is a graph, in which a subset of neurons are "inputs", some are outputs, and others are "hidden".

All the hidden neurons connect with all the input neurons "output", and all the output neurons connect to the hidden neurons "output".

So in a sense, it's naive to say "put a billion neurons in there and you'll get a rat brain" (as was publicized one time).

Compare that with human brain, where there are no "leadership neurons".