Table 3:

Posits of the Event Horizon model (from Zacks & Radvansky, 2014).

1. Segmentation	Continuous ongoing activity is segmented into discrete events, and an event model is constructed for each event.
2. Working models	The event model corresponding to the event you are currently experiencing at any particular timescale has special status. It is actively maintained by recurrent neural activity.
3. The causal network	Long-term memory links event models by their causal relations.
4. Noncompetitive attribute retrieval	When elements of events are represented in multiple event models, access to those elements is facilitated.
5. Competitive event retrieval	When several event models are similar, accessing any specific event model is more difficult.