I read somewhere a conjecture that sleep for human brains is analogous to regularization schemes (such as dropout) for neural networks. Dropout helps the net avoid overfitting; nets that are overfitted have a difficult time distinguishing noise from signal. Sleep for mammals might serve a similar purpose, to help the brain avoid overfitting to noise (imagine if you had difficulty distinguishing dreams from reality).