artificial neural networks continuous learning

Artificial neural networks are computing systems inspired by biological neural networks that constitute animal brains. Like biological models, they can learn (be trained) by processing examples and forming probability associations, then apply that information to other tasks.
Do artificial neural networks need “sleep” in order to do better?