There exists in the neural nets literature a NN version of the
Mentifex paradigm.
Prof Graupe writes in [1] about the LAMSTAR human CNS NN "Mentifex":
"The neural network discussed in the present section is an artificial
neural network for large scale memory storage and retrieval of
information [Graupe and Kordylewski, 1996a,b]. This network attempts
to imitate, in a gross manner, processes of the human central nervous
system (CNS), concerning storage and retrieval of patterns,
impressions and sensed observations, including processes of forgetting
and of recall. It attempts to achieve this without contradicting
findings from physiological and psychological observations, at least
in an input/output manner. Furthermore, the LAMSTAR (LArge Memory
STorage And Retrieval) model considered attempts to do so in a
computationally efficient manner, using tools of neural networks from
the previous sections, especially SOM (Self Organizing Map)-based
network modules (similar to those of Sec. 8 above), combined with
statistical decision tools. The LAMSTAR network is therefore not a
specific network but a system of networks for storage, recognition,
comparison and decision that in combination allow such storage and
retrieval to be accomplished."
[1]
https://www.amazon.com/Principles-Artificial-Networks-Advanced-Circuits/dp/9814522732
(The author has the 2nd Edition)
Dr Antti Juhani Ylikoski
Finland, the E.U.