  This paper aims to explore the separation of the two forward passes in the
Forward-Forward algorithm from a biological perspective in the context of
sleep. We show the size of the gap between the sleep and awake phase influences
the learning capabilities of the algorithm and highlight the importance of
negative data in diminishing the devastating effects of sleep deprivation.
