Do you remember this question:
How Can Slow Components Think So Fast?
This was the title of the 1988 Spring Symposium on Parallel Models of Intelligence, Stanford, California.
(Note that the pulse rates of biological neurons are several _orders of magnitude_ lower than clock rates of computer processors, even though one cannot be directly compared to the other.)
I think the answer has been known, or strongly suspected, for a long time.
Maybe it was proposed at that symposium itself.
As this BBC article puts it:
«... a leading theory about how our brains deal with visual information called predictive coding. It suggests that our visual system doesn't just passively process features in our surroundings when we look around. Instead, it first predicts what it expects to see by drawing on past experience before it processes discrepancies in the input from our eyes. This allows us to see more quickly.»
Furthermore, using computer models to help understand human cognition has long been one of the goals of cognitive science.
From the BBC:
AI can now 'see' optical illusions. What does it tell us about our own brains?
<https://www.bbc.com/future/article/20251218-how-ai-is-shedding-new-light-on-optical-illusions>
#AI
#ArtificialIntelligence
#CognitiveModeling
#CognitiveModelling
#CognitiveScience
