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Long- and Short-Term Memories as Distinct States of the Brain Neuronal Network

  • Evgeny Meilikhov
  • Rimma Farzetdinova
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 799)

Abstract

There are two types of memory – short-term and long-term ones. First, the former arises and then the latter one (in the course of the so called consolidation process). Own neuronal networks (engrams) in the brain correspond to each of those memories, and our goal is to understand what is the difference between those networks from viewpoint of their structural properties. It is not about the special biochemical structure of some neurons or synapses arising under the memory consolidation, but about some total topological properties of those brain networks which are associated with the stored pattern. In other words, could the topological reconstruction of the neuronal network promote the memory consolidation and transfer it into the long-term form? The model consideration of that phenomena shows that such a process is quite possible. For that to happen, two conditions have to be met: (i) the neuronal net should be, initially, the scale-free one, and (ii) the memory consolidation should proceed via the building of long-range links that arise at this stage, for instance, by means of new axon-neuron synaptic contacts.

Keywords

Short-term memory Long-term memory Consolidation 

References

  1. Albert, R., Barabási, A.-L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47–94 (2002)MathSciNetCrossRefGoogle Scholar
  2. Bagnard, D. (ed.): Axon Growth and Guidance. Springer, New York (2007)Google Scholar
  3. Bartlett, F.C.: Remembering: A Study in Experimental and Social Psychology. Cambridge University Press, Cambridge (1932)Google Scholar
  4. Baxter, R.J.: Exactly Solved Models in Statistical Mechanics. Academic Press, London (2007)zbMATHGoogle Scholar
  5. Burns, B.D.: The Uncertain Nervous System. Edward Arrnold (Publishers) Ltd., London (1968)Google Scholar
  6. Ebbinghaus, H.: Memory; a contribution to experimental psychology. Teachers college, Columbia university, New York (1913)Google Scholar
  7. Hebb, D.O.: The Organization of Behavior. A Neuropsychlogical Theory. Wiley, New York (1949)Google Scholar
  8. Herrero, C.P.: Ising model in small-world networks. Phys. Rev. E 65, 066110 (2002)CrossRefGoogle Scholar
  9. Hertz, J.A., Palmer, R.G., Krogh, A.: Introduction to the Theory of Neural Computation. Santa Fe Institute Series. Addison-Wesley, Boston (1991)Google Scholar
  10. Huang, D., Pipa, G.: Achieving sinchronization of networks by an auxiliarly hub. Europhys. Lett. 77(5), 50010 (2007)CrossRefGoogle Scholar
  11. McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in neurons activity. Bull. Math. Biophys. 5, 115–133 (1943)MathSciNetCrossRefGoogle Scholar
  12. Meilikhov, E.Z., Farzetdinova, R.M.: Effective Field Theory for Disordered Magnetic Alloys. Phys. Sol. St. 56, 707–714 (2014)CrossRefGoogle Scholar
  13. Mukhin, V.N., Pavlov, K.I., Klimenko, V.M.: Mechanisms of neuron loss in Alzheimer’s disease. Neurosci. Behav. Physiol. 47, 508–516 (2017)CrossRefGoogle Scholar
  14. Nicholls, J.C., Martin, A.R., Wallace, B.C., Fuchs, P.A.: From Neuron to Brain, 4th edn. Sinauer Associates Inc. Publishers, Sunderland (2001)Google Scholar
  15. Shneidman, E., Berry, M.J., Segev, R., Bialek, W.: Weak pairwise corellations imply strongly correlated network states in a neural population. Nature 440(7087), 1007–1012 (2006)CrossRefGoogle Scholar
  16. Tinkham, M.: Introduction to Superconductivity. Dover Publications (2004)Google Scholar
  17. Vedenov, A.A.: Modelling Elements of Thinking. Nauka, Moscow (1988). (in Russian)Google Scholar
  18. Verveen, A.A., DeFelice, L.J.: Membrane noise. Prog. Biophys. Mol. Biol. 28, 189–265 (1974)CrossRefGoogle Scholar
  19. Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature (London) 393, 440 (1998)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Research Centre “Kurchatov Institute”MoscowRussia
  2. 2.Moscow Institute of Physics and TechnologyDolgoprudnyRussia

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