There are much better models out there for modeling networks closer to the biology. The current generation is kind of understood to be an extremely rough model

There are much better models out there for modeling networks closer to the biology. The current generation is kind of understood to be an extremely rough model that draws rough inspiration from biology. But the important thing is that Ann models are performing better on image recognition and nlp tasks than any other techniques. The fact that they demonstrably work is far more important than biological mimicry. There is another model called a spiking neutral network that basically aims to mimic biology and incorporates time and usually many more neurons and sparse connectivity. While this is interesting, so far they haven't produced anything too mind blowing and due to the increased complexity they are much less computationally efficient right now. But those actually interested in the biologically inspired aspect are streare stream to