Was glancing at this video, I haven't reviewed Dario Nardi's work indepth but I thought he was IEE when I glanced at his profile/bio/work.
The trans-contextual thinking discussed is basically correct about Ne, and the mechanism I think works by taking data and generating eigenspace. I'm not sure the exact way to describe this but I think what Ne does is generate a eigenspace over various data concerning a context and eigenvectors in the space can be freely associated with other compatible eigenvector of other eigenspaces(of other contexts).
So within a context, a eigenspace is generated and then eigenvectors within the space act as connection points to other eigenspaces with similar eigenvectors. This allows for multi-context connections to happen from any number of topics.
Beyond this, there is a difference between and as far as how it blocks with , is looking for "external" validity of the connections and only requires the subjective validity of the mind in question, in types like ILE vs IEE, this allows the IEE to form their holographic projections from a single eigenspace, without regard to external validity, and for ILE they eliminate connections and only allow vectors to only connect based on external validity. This eigen generating mechanism is fairly common I find in AI neural networks, but I think the connection dynamics between multiple spaces is not yet perfected.
eigenvalue = constant object representation of reality
eigenspace = set of all eigenvectors of object (produced by decomposition of data related to object)
eigenvector = individual association that can potentially connect with another eigenspace
I think is similar but it doesn't allow for cross-context interaction, it only allows for the associate with adjacent contexts
might be like public vectors(related to data) and might be like private/friend vectors(which can only be arrived thru further mental computation of data related to the object)