Evidence map›Paper›PMID 25071536›Full record

ArticleFrontiers in computational neuroscience2014

Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics.

Florian Fiebig, Anders Lansner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  7. Article
  8. Neural mechanisms of attending to items in working memory.Neuroscience and biobehavioral reviews · 2019
    Review
  9. A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  10. Article
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  12. Article
  13. Article
  14. Working Memory: Maintenance, Updating, and the Realization of Intentions.Cold Spring Harbor perspectives in biology · 2015
    Review
  15. Review
  16. Article
  17. Establishing Performance Indicators of Telemedicine-Based "On-Consultation Training" of Primary Care Doctors: An Innovation to Integrate Psychiatry at Primary Care.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Florian FiebigDepartment of Computational Biology, Royal Institute of Technology (KTH) Stockholm, Sweden ; Institute for Adaptive and Neural Computation, School of Informatics, Edinburgh University Edinburgh, Scotland.
Anders LansnerDepartment of Computational Biology, Royal Institute of Technology (KTH) Stockholm, Sweden ; Department of Numerical Analysis and Computer Science, Stockholm University Stockholm, Sweden.
KTH Royal Institute of Technology · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Declarative long-term memories are not created in an instant. Gradual stabilization and temporally shifting dependence of acquired declarative memories in different brain regions-called systems consolidation-can be tracked in time by lesion experiments. The observation of temporally graded retrograde amnesia (RA) following hippocampal lesions points to a gradual transfer of memory from hippocampus to neocortical long-term memory. Spontaneous reactivations of hippocampal memories, as observed in place cell reactivations during slow-wave-sleep, are supposed to drive neocortical reinstatements and facilitate this process. We propose a functional neural network implementation of these ideas and furthermore suggest an extended three-state framework that includes the prefrontal cortex (PFC). It bridges the temporal chasm between working memory percepts on the scale of seconds and consolidated long-term memory on the scale of weeks or months. We show that our three-stage model can autonomously produce the necessary stochastic reactivation dynamics for successful episodic memory consolidation. The resulting learning system is shown to exhibit classical memory effects seen in experimental studies, such as retrograde and anterograde amnesia (AA) after simulated hippocampal lesioning; furthermore the model reproduces peculiar biological findings on memory modulation, such as retrograde facilitation of memory after suppressed acquisition of new long-term memories-similar to the effects of benzodiazepines on memory.

Indexed as

anterograde amnesiacomplementary learning systemscomputational modelmemory consolidationneural adaptationretrograde amnesiaretrograde facilitationsynaptic depressionworking memory

Identifiers

PMID25071536
PMCPMC4077014
OpenAlexW2127968061

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.