 Information Integration Theory of Consciousness (IIT) draws on the notion of integrated information, symbolized by Φ, as a way to explain generic consciousness (Tononi 2004, 2008). IIT defines integrated information in terms of the effective information carried by the parts of the system in light of its causal profile. For example, we can focus on a part of the whole circuit, say two connected nodes, and compute the effective information that can be carried by this microcircuit. The system carries integrated information if the effective informational content of the whole is greater than the sum of the informational content of the parts. If there is no partitioning where the summed informational content of the parts equals the whole, then the system as a whole carries integrated information and it has a positive value for Φ. Intuitively, the interaction of the parts adds more to the system than the parts do alone.