My goal is to start deep learning project related to computational neuroscience...

More from my big black book of ai and neuroscience:

I think if trace theory is true to any degree it would go some distance in explaining phenomenal consciousness, assuming I haven't misunderstood anything.

In fuzzy trace theory (FTT) it is posited that people form two types of mental representations about a past event:

*verbatim traces: detailed representations of a past event.

*gist traces: fuzzy representations of a past event.

People can reason with verbatim *and* gist traces but prefer gists.

*vision was suggested to work similarly in 1999. With human vision, two processes could be used: one that aggregates local receptive fields and one that parses the local receptive spatial field. It was suggested that people used prior experience, gists, to decide which dominates a perceptual decision.

Gist processes form representations of events, semantic details, where verbatim reinstates the context found in the surface details of an event.

__notes__

Parallel storage: asserts encoding/storage of verbatim/gist traces operate in *parallel*, not in serial.

I like to think of verbatim traces as databases, and gists as queries constructed by recognition.

Several studies have found that the meaning (gist) of an item is encoded even *before* the surface details (verbatim).

This might be important as a survival mechanism but should not be taken to mean strictly that gists are formed wholly *without* details or important and recognizable features of the item in question. It may well be for high level el processing and classification efficiency this may be an important reprocessing step, in the same way that many functions of the brain are duplicated throughout.