We can't accurately simulate even what a single neuron does.
This blew my mind a bit. So why the heck are researchers trying to train neural nets when the nodes of those nets are clearly subpar?
Actually the exact opposite is true - ANN neurons and synapses are more powerful per neuron per synapse than their biological equivalents. ANN neurons signal and compute with high precision real numbers with 16 or 32 bits of precision, rather than 1 bit binary pulses with low precision analog summation.
The difference depends entirely on the problem, and the ideal strategy probably involves a complex heterogeneous mix of units of varying precision (which you see in the synaptic distribution in the cortex, btw), but in general with high precision neurons/sy...
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