A computational model of systems memory consolidation and reconsolidation.

Abstract:

:In the mammalian brain, newly acquired memories depend on the hippocampus (HPC) for maintenance and recall, but over time, the neocortex takes over these functions, rendering memories HPC-independent. The process responsible for this transformation is called systems memory consolidation. Reactivation of a well-consolidated memory can trigger a temporary return to a HPC-dependent state, a phenomenon known as systems memory reconsolidation. The neural mechanisms underlying systems memory consolidation and reconsolidation are not well understood. Here, we propose a neural model based on well-documented mechanisms of synaptic plasticity and stability and describe a computational implementation that demonstrates the model's ability to account for a range of findings from the systems consolidation and reconsolidation literature. We derive several predictions from the computational model and suggest experiments that may test its validity.

journal_name

Hippocampus

journal_title

Hippocampus

authors

Helfer P,Shultz TR

doi

10.1002/hipo.23187

subject

Has Abstract

pub_date

2020-07-01 00:00:00

pages

659-677

issue

7

eissn

1050-9631

issn

1098-1063

journal_volume

30

pub_type

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