- #1
Aidyan
- 180
- 13
Nowadays we hear a lot about AI deep learning artificial neural networks. People speak about simulations of billions of neurons and even much more synapses. However, as far as I understand it, the artificial neurons used in these simulations are extremely simplified models of real biological neurons. The question is how much simpler? How far away are we from being able to simulate every neuron realistically? Can we simulate today exactly at least one single neuron exactly? Do we know for sure everything about how neurons work?