3 ms·
I mean yes, but you could say take a sufficiently large set of hidden units (say 10-100) with all their parameters and they could easily represent the kinds of
by lysecret 5y ago
I mean yes, but you could say take a sufficiently large set of hidden units (say 10-100) with all their parameters and they could easily represent the kinds of functions you are talking about. So the comparrisonn is off (we probably need about 100 times more parameters than the brain has neurons if that is the right measure)
- skohan 5y agoI'm not totally convinced that hidden units are enough to model every neuronal system. For instance what the post above is alluding to with highly specific temporal information of encoding is not so easily represented in current ANN's as far as I'm aware. And there's also a ton of metabolic processes in the neuron which affect information processing in different ways at different time scales. I would not be so confident a neuron can be effectively modeled by just scaling up node count. And even if it can, that would mean you probably need an ANN of orders-of-magnitude greater size than neuron count to simulate a human brain with any accuracy. I.e. we might be talking about multiple nodes per synapse.