this post was submitted on 26 Jan 2025
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Get your facts straight.
The multi layer perceptron was first proposed in 1943 and was indeed inspired by biological networks: https://doi.org/10.1007/BF02478259
You can be sure this wasn't to make it "more palatable", wtf.
Regarding the rest of your reply:
You seem to be expecting a fully functioning digital brain as replica of the human brain. That's not what current ANNs in modern AI methods do.
Although they are in their core inspired by nature (which is why I originally said that advancements in brain research can aid the development of more advanced AI models), they work structurally different. And ANNs for example are just simplified mathematical models of biological neural nets. I've described basic properties before. Further characteristics, like neurogenesis, transmission speeds influenced by myelinated or unmyelinated axons, different types and subnets of neurons, like inhibitors, etc., are not included.
There is quite a large difference between simplfied models which are "inspired by" nature and exact digital replicas. It seems you are not accepting this.