3 ms·
they are not. the current consensus in computational neuroscience is that a neuron can be equivalent to a 2-layer or 3-layer ANN with point nonlinearities. E
by buboard 7y ago
they are not. the current consensus in computational neuroscience is that a neuron can be equivalent to a 2-layer or 3-layer ANN with point nonlinearities.
Edit: i am blocked from posting, so here are the refs:
https://www.ncbi.nlm.nih.gov/pubmed/20800473 https://www.ncbi.nlm.nih.gov/pubmed/20800473
https://www.ncbi.nlm.nih.gov/pubmed/25554708 https://www.ncbi.nlm.nih.gov/pubmed/25554708
https://sci-hub.tw/https://www.sciencedirect.com/science/article/pii/S0301008214001373 https://sci-hub.tw/https://www.sciencedirect.com/science/art...
- visres 7y agoDo you have any references you could share on this? I'd like to read more, thanks!
- deepnet 7y agoMinsky and Papert showed that computing XOR requires a 3 layer artificial neural net: Input, Hidden Layer, Output - which has 2 layers of weighted connections. This[0] research shows a single neuron can compute XOR, thus the artificial neuron has less computational power than a real one. [0] - https://www.reddit.com/r/MachineLearning/comments/ejbwvb/r_single_biological_neuron_can_compute_xor/ https://www.reddit.com/r/MachineLearning/comments/ejbwvb/r_s...