Table 1. Model hypothesis and predictions.

	Model hypothesis		Model prediction
i)	The bump amplitude in wedge neurons evolves towards a setpoint in the absence of changing input (rE evolves towards a setpoint, r0)	i)	Prolonged wakefulness leads to oscillations in both wedge and R5 neurons
ii)	Plasticity in recurrent connections between wedge neurons (wEE): - LTP during the wake phase - LTD during the sleep phase	ii)	Prolonged wakefulness prevents wedge neurons from tracking external inputs
iii)	R5 neurons keep the bump amplitude constant over long-timescales. R5 neurons balance plasticity in wedge neurons (wEE) with plasticity (wIE) and increasing/decreasing activity (rI)	iii)	During sleep, wedge neurons show autonomous dynamics
		iv)	The width of the bump changes over long-timescales: - decreases during the wake phase - increases during the sleep phase