The actual task of supplementing intelligent systems of evidence-based medicine with technically implemented mental models is set. Using these models, the user understands the results of digital models in Big Data systems. Clarified concepts related to this issue. The electronic components of neural networks for the implementation of mental models is defined. A variant of continuous logic of mental models is proposed. Functional expressions of convolutions of input signals of artificial neurons are constructed. The basic operations for use in the computational architecture of a neural network are defined. Prospects for the development of this issue are outlined.
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2. Novaya filosofskaya enciklopediya. M.: Mysl '. 2010. (In Russ).
3. Bol'shoj enciklopedicheskij slovar '. M.: Bol'shaya Rossijskaya enciklopediya. 2009. (In Russ).
4. Lengton G.R. Razumnyj glaz. M.: Editorial. 2003. (In Russ).
5. Rozenblatt F. Principy nejrodinamiki. Perceptrony i teoriya mekhanizmov mozga. M.: Mir. 1965. (In Russ).
6. Samkov L.M. Matematicheskaya informatika. Informatika i ee problemy. – Novosibirsk. Nauka. 1970 ; 1 : 52–65. (In Russ).
7. Codd E.F. A Relational Model of Data for Large Shared Data Banks. Communications of the ACM. 1970 ; 13 ( 6 ): 377-387.
8. Karnauhov N.S., Il'yuhin R.G. Vozmozhnosti tekhnologij «BIG DATA» v medicine. Vrach i informacionnye tekhnologii. 2019 ; 1 : 59–63. (In Russ).
9. Belyshev D.V., Guliev Y a.I., Malyh V.L., Miheev A.E. Novye aspekty razvitiya medicinskih informacionnyh system. Vrach i informacionnye tekhnologii. 2019 ; 4 : 6–12. (In Russ).
10. Fon Nejman Veroyatnostnaya logika i sintez nadezhnyh organizmov iz nenadezhnyh component. Avtomaty. M.: IL. 1956. (In Russ).
11. Galushkin A.I. Nejrokomp'yutery na baze memristorov. Informatizaciya i svyaz '. 2013 ; 3 : 156–165. (In Russ).
12. Samkov L.M. Teoretiko-logicheskij podhod k postroeniyu celevyh funkcij dlya zadach optimizacii proektirovaniya. C h islennye metody i zadachi optimizacii. Tomsk: TGU. 1983. (In Russ).
13. Mental_model. Available at: https://en.wikipedia.org/wiki/Mental_model. Last accessed on 17.06.2020.
14. Clement John J. Creative Model Construction in Scientists and Students: The Role of Imagery, Analogy, and Mental Simulation. 1st ed. 2008. Dordrecht: Springer Netherlands : Imprint: Springer. 2008.
15. Prajapati B.B., Parikh S.M., Patel J.M. Effective Healthcare Services by IoT-Based Model of Voluntary Doctors. In: Mishra D., Yang XS., Unal A. (eds). Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol
16. Springer, Singapore 2019. 16. Indiveri G., Linares- Barranco B., Legenstein R., Deligeorgis G., Prodromakis T. Integration of nanoscale memristor synapses in neuromorphic computing architectures. Nanotechnology. 2013 ; 24(38): 384010.
17. Maas W. Networks of spiking neurons: The third generation of neural network models. Trans. Soc. Comput. Simul. Int. 1997 ; 14 : 1659–1671.
18. Alibart F. et al. A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing. Advanced Functional Materials. 2012 ; 22 : 609–616.
19. HP Labs Discovery Holds Potential to Fundamentally Change Computer System Design. “Memristor” could enable computation on memory chips. Available at: www8.hp.com/us/en/hp-news/press-release.html?id=342185 Last accessed on 17.06.2020.
20. Artificial neuron. Available at: https://en.wikipedia.org/wiki/Artificial_neuron Last accessed on 17.06.2020.
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