Evidence map›Paper›PMID 30439565›Full record

ReviewNeurobiology of learning and memory2019

Memory systems 2018 - Towards a new paradigm.

J Ferbinteanu

Abstract readReview
In one paragraph

Review in Neurobiology of learning and memory, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Math anxiety and arithmetic learning: Evidence for impaired procedural learning and enhanced retrieval learning.Journal of experimental psychology. Learning, memory, and cognition · 2025
    Article
  7. Article
  8. Eliminating episodic memory?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Neuromodulation for Trigeminal Neuralgia.Journal of Korean Neurosurgical Society · 2022
    Article
  20. 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

1 author.

J FerbinteanuDept. of Physiology and Pharmacology, Dept. of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave, Box 31, Brooklyn, NY 11203, USA. Electronic address: janina.ferbinteanu@downstate.edu.

Funding

Physiological Mechanisms of Hippocampal-Striatal InteractionsR21MH106708 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI FERBINTEANU, JANINA DIANA · 2015 to 2016
$494k
Hippocampal-Striatal Co-operative Synergistic InteractionR21MH115421 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI FERBINTEANU, JANINA DIANA · 2017 to 2018
$444k
NIMH NIH HHS R21 MH106708NIMH NIH HHS R21 MH115421
6 · The paper itself

Abstract

The multiple memory systems theory (MMS) postulates that the brain stores information based on the independent and parallel activity of a number of modules, each with distinct properties, dynamics, and neural basis. Much of the evidence for this theory comes from dissociation studies indicating that damage to restricted brain areas cause selective types of memory deficits. MMS has been the prevalent paradigm in memory research for more than thirty years, even as it has been adjusted several times to accommodate new data. However, recent empirical results indicating that the memory systems are not always dissociable constitute a challenge to fundamental tenets of the current theory because they suggest that representations formed by individual memory systems can contribute to more than one type of memory-driven behavioral strategy. This problem can be addressed by applying a dynamic network perspective to memory architecture. According to this view, memory networks can reconfigure or transiently couple in response to environmental demands. Within this context, the neural network underlying a specific memory system can act as an independent unit or as an integrated component of a higher order meta-network. This dynamic network model proposes a way in which empirical evidence that challenges the idea of distinct memory systems can be incorporated within a modular memory architecture. The model also provides a framework to account for the complex interactions among memory systems demonstrated at the behavioral level. Advances in the study of dynamic networks can generate new ideas to experimentally manipulate and control memory in basic or clinical research.

Indexed as

Models, NeurologicalAnimalsAssociation LearningBrainHumansMemoryModels, PsychologicalPsychological TheoryAffective memoryAmygdalaCognitive memoryCue-response associationsDorsal striatumDynamic networksHabitsHippocampusMemory architectureMemory systemsPlace learningResponse learningSpatial memorySpatial navigation

Identifiers

PMID30439565
PMCPMC6389412

What OpenQuestion holds

Textmetadata
LicenceTDM
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.