Neural networks that become unstable after continuous periods of self-learning will return to stability after exposed to sleep like states, according to a study of simulated spiking neural networks, suggesting that even artificial brains need to nap occasionally.
Artificial brains may need sleep too: States that resemble sleep-like cycles quell the instability that comes with uninterrupted self-learning in artificial analogs of brains
