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What is the estimated overhead for a Feedforward RNN to emulate a real biological neuron's evolution in time?
This would only be relevant if feedforward RNNs were actually used to emulate biological neurons. Otherwise the only common ground is that you have large natural integers on both sides
Can we train a deep net to mimic a state-of-the-art molecule-level modeling of a real neuron from the neurobiology people and at least have an upper bound?
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