There's a fundamental difficulty with these sorts of attempts to emulate entire nervous systems (which gets exponentially worse as you scale up) that I don't think gets enough attention: failure of averaging. See this paper on simulating single neurons: https://pubmed.ncbi.nlm.nih.gov/11826077/#:~:text=Averaging%20fails%20because%20the%20maximal,does%20not%20contain%20its%20mean.
The abstract:
"Parameters for models of biological systems are often obtained by averaging over experimental results from a number of different preparations. To explore the va...
"it takes, I think I read 10 ANN nodes to mimic the behavior of one biological neuron"
More like a deep network of 5-8 layers of 256 ANN nodes, according to recent work (turns out lots of computation is happening in the dentrites):
https://www.quantamagazine.org/how-computationally-complex-is-a-single-neuron-20210902/