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Yet we can produce complex behaviors in response to unexpected events in about 400-500ms (like catching an incoming object). Including muscle-brain roundtrip. This implies that each neuron involved in the computation fires at most a couple of times.
This inherent slowness, coupled with the constraint of real-time responses, must have shaped the algorithms developed by the brain in profound ways (in particular, this is likely why we need *so many* neurons). Intelligence developed on a computer might look very different.
In particular, we are unable to brute-force any problem. We solve constraint satisfaction problems via intuition and analogy. A chess master evaluates millions of times fewer positions than a computer program at a comparable level.
Our biological and experiential limitations *force* our brains to be *intelligent* -- to learn from few examples, to generalize strongly, to build complex solutions in few trials. Everything that is out of reach for AI today.
Amazingly few neurons can achieve complex behaviour - like this wasp which only has 7000 of them.https://twitter.com/marksugruek/status/1039242916747722752 …
conjures the "window of viability" theory in my (slow) mindpic.twitter.com/GbEaAyL9hE
I think it is well-established that we can produce timing a lot more precise than the "clock speed" of independent neurons, which never ceases to amaze me. And while I know how that is possible in theory, I still can't quite believe it.
It’s amazing to me that our brain does not overheat.
Amazed and perplexed me too, until this chart explained everything! Our brains don't overheat *because* they are slow. Computer progress has trended away from the brain since inception (via http://paulmerolla.com/merolla_main_som.pdf …)pic.twitter.com/fLyji04XPz
Natural consequence IMMO is that actual one-shot, non-continuous inference is clearly not the way to go, regardless of any learning considerations. Continuous and bidirectional inference is needed for reaction times that fast.
I think this is why we have what we call an intuition. Sort of compiled structures working in a hierarchical manner also as a filtration process. At top of the pyramid with regressed structure we process fast with less/ only relevant information.
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