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. 2024:38:237-257.
doi: 10.1007/978-3-031-62983-9_13.

A Computational Framework for Memory Engrams

Affiliations

A Computational Framework for Memory Engrams

Chiara Gastaldi et al. Adv Neurobiol. 2024.

Abstract

Memory engrams in mice brains are potentially related to groups of concept cells in human brains. A single concept cell in human hippocampus responds, for example, not only to different images of the same object or person but also to its name written down in characters. Importantly, a single mental concept (object or person) is represented by several concept cells and each concept cell can respond to more than one concept. Computational work shows how mental concepts can be embedded in recurrent artificial neural networks as memory engrams and how neurons that are shared between different engrams can lead to associations between concepts. Therefore, observations at the level of neurons can be linked to cognitive notions of memory recall and association chains between memory items.

Keywords: Attractor networks; Concept cells; Hopfield model; Inferior temporal cortex.

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References

Bibliography

    1. Akrami A, Russo E, Treves A (2012) Lateral thinking, from the Hopfield model to cortical dynamics. Brain Res 1434:4–16. https://doi.org/10.1016/j.brainres.2011.07.030 . PMID: 21839426 - DOI - PubMed
    1. Amit DJ (1992) Modeling brain function: the world of attractor neural networks. Cambridge University Press
    1. Amit DJ, Brunel N (1997) Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb Cortex 7(3):237–252. PMID: 9143444 - DOI - PubMed
    1. Amit DJ, Gutfreund H, Sompolinsky H (1985) Storing infinite numbers of patterns in a spin-glass model of neural networks. Phys Rev Lett 55(14):1530. https://doi.org/10.1103/PhysRevLett.55.1530 . PMID: 10031847 - DOI - PubMed
    1. Amit DJ, Gutfreund H, Sompolinsky H (1987) Information storage in neural networks with low levels of activity. Phys Rev A 35(5):2293. https://doi.org/10.1103/PhysRevA.35.2293 . PMID: 9898407 - DOI

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