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A neural network of neural networks is... a bigger neural network. Having two or three layers of nonlinearities per "neuron" doesn't do anything qualitatively d
by voidmain 8y ago
A neural network of neural networks is... a bigger neural network. Having two or three layers of nonlinearities per "neuron" doesn't do anything qualitatively different.
There are probably lots of huge differences between NNs and brains but this article is really making the case that the brain can be modeled as a big NN, just with a few thousand times more activations than neural cells.
- rusticpenn 8y agoBrain can indeed be modelled by NNs, however the neurons in brain are more complex and requires use of more complex neural models like Hodgkin–Huxley model or can be approximated by more simplified models like Integrate and Fire models. ( ref: https://www.humanbrainproject.eu/en/ https://www.humanbrainproject.eu/en/ )
- j7ake 8y agoWhat's the evidence that "brain" (whatever that means) can be modelled by NNs? What features of the brain can NNs model?