Episodic memory has a dynamic nature: when we recall past episodes, we retrieve not only their content, but also their temporal structure. The phenomenon of replay, in the hippocampus of mammals, offers a remarkable example of this temporal dynamics. However, most quantitative models of memory treat memories as static configurations, neglecting the temporal unfolding of the retrieval process. Here, we introduce a continuous attractor network model with a memory-dependent asymmetric component in the synaptic connectivity, which spontaneously breaks the equilibrium of the memory configurations and produces dynamic retrieval. The detailed analysis of the model with analytical calculations and numerical simulations shows that it can robustly retrieve multiple dynamical memories, and that this feature is largely independent of the details of its implementation. By calculating the storage capacity, we show that the dynamic component does not impair memory capacity, and can even enhance it in certain regimes.

Continuous attractors for dynamic memories / Spalla, D.; Cornacchia, I. M.; Treves, A.. - In: ELIFE. - ISSN 2050-084X. - 10:(2021), pp. 1-28. [10.7554/eLife.69499]

Continuous attractors for dynamic memories

Spalla, D.
Formal Analysis
;
Cornacchia, I. M.
Software
;
Treves, A.
2021-01-01

Abstract

Episodic memory has a dynamic nature: when we recall past episodes, we retrieve not only their content, but also their temporal structure. The phenomenon of replay, in the hippocampus of mammals, offers a remarkable example of this temporal dynamics. However, most quantitative models of memory treat memories as static configurations, neglecting the temporal unfolding of the retrieval process. Here, we introduce a continuous attractor network model with a memory-dependent asymmetric component in the synaptic connectivity, which spontaneously breaks the equilibrium of the memory configurations and produces dynamic retrieval. The detailed analysis of the model with analytical calculations and numerical simulations shows that it can robustly retrieve multiple dynamical memories, and that this feature is largely independent of the details of its implementation. By calculating the storage capacity, we show that the dynamic component does not impair memory capacity, and can even enhance it in certain regimes.
2021
10
1
28
e69499
https://doi.org/10.7554/eLife.69499
https://www.biorxiv.org/content/10.1101/2020.11.08.373084v2
Spalla, D.; Cornacchia, I. M.; Treves, A.
File in questo prodotto:
File Dimensione Formato  
Spa+21.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 5.96 MB
Formato Adobe PDF
5.96 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/127429
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 22
  • ???jsp.display-item.citation.isi??? 17
social impact