Evidence map›Paper›PMID 23929788›Full record

ReviewHippocampus2013

Homeostatic regulation of memory systems and adaptive decisions.

Sheri J Y Mizumori, Yong Sang Jo

Open access · hybridAbstract readReview
In one paragraph

Review in Hippocampus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  10. The Lateral Habenula and Adaptive Behaviors.Trends in neurosciences · 2017
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Forgetfulness during aging: an integrated biology.Neurobiology of learning and memory · 2014
    Review
  16. Context prediction analysis and episodic memory.Frontiers in behavioral neuroscience · 2013
    Review
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 1 institution in 1 country.

Sheri J Y MizumoriThis is an open access article under the terms of the Creative Commons Attribution-Non-Commercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Psychology Department, University of Washington, Seattle, Washington.
Yong Sang Jo
University of Washington · US

Funding

Dopamine Regulation During Context ProcessingR01MH058755 · NIMH · UNIVERSITY OF WASHINGTON · PI MIZUMORI, SHERI J. Y. · 1998 to 2012
$2.9M
Dopamine Regulation During Context ProcessingR56MH058755 · NIMH · UNIVERSITY OF WASHINGTON · PI MIZUMORI, SHERI J. Y. · 2008 to 2008
$366k
NIMH NIH HHS MH58755
6 · The paper itself

Abstract

While it is clear that many brain areas process mnemonic information, understanding how their interactions result in continuously adaptive behaviors has been a challenge. A homeostatic-regulated prediction model of memory is presented that considers the existence of a single memory system that is based on a multilevel coordinated and integrated network (from cells to neural systems) that determines the extent to which events and outcomes occur as predicted. The "multiple memory systems of the brain" have in common output that signals errors in the prediction of events and/or their outcomes, although these signals differ in terms of what the error signal represents (e.g., hippocampus: context prediction errors vs. midbrain/striatum: reward prediction errors). The prefrontal cortex likely plays a pivotal role in the coordination of prediction analysis within and across prediction brain areas. By virtue of its widespread control and influence, and intrinsic working memory mechanisms. Thus, the prefrontal cortex supports the flexible processing needed to generate adaptive behaviors and predict future outcomes. It is proposed that prefrontal cortex continually and automatically produces adaptive responses according to homeostatic regulatory principles: prefrontal cortex may serve as a controller that is intrinsically driven to maintain in prediction areas an experience-dependent firing rate set point that ensures adaptive temporally and spatially resolved neural responses to future prediction errors. This same drive by prefrontal cortex may also restore set point firing rates after deviations (i.e. prediction errors) are detected. In this way, prefrontal cortex contributes to reducing uncertainty in prediction systems. An emergent outcome of this homeostatic view may be the flexible and adaptive control that prefrontal cortex is known to implement (i.e. working memory) in the most challenging of situations. Compromise to any of the prediction circuits should result in rigid and suboptimal decision making and memory as seen in addiction and neurological disease.

Indexed as

Adaptation, PsychologicalAnimalsCorpus StriatumDecision MakingHippocampusHomeostasisHumansMemoryModels, NeurologicalModels, PsychologicalPrefrontal CortexSystems Biologyerror correctionhippocampuspredictionsprefrontal cortexstriatum

Identifiers

PMID23929788
PMCPMC4165303
OpenAlexW2148564784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.