CoChat
Sign Up
Cited by 556Neuroscience, Education and Cognitive FunctionNeurogenesis and neuroplasticity mechanismsCognitive Functions and Memory

The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.

Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games

Open access
Bavelier, Daphne, Green, C. Shawn, Pouget, Alexandre, Schrater, Paul·2012·Annual Review of Neuroscience
DOI 10.1146/annurev-neuro-060909-152832
Open this paper in CoChat — free account

Abstract

The ability of the human brain to learn is exceptional. Yet, learning is typically quite specific to the exact task used during training, a limiting factor for practical applications such as rehabilitation, workforce training, or education. The possibility of identifying training regimens that have a broad enough impact to transfer to a variety of tasks is thus highly appealing. This work reviews how complex training environments such as action video game play may actually foster brain plasticity and learning. This enhanced learning capacity, termed learning to learn, is considered in light of its computational requirements and putative neural mechanisms.

Overview

Integrity signals

Registry

Crossref · 10.1146/annurev-neuro-060909-152832

Cites

148 of 148 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 148 references

Research works printed but not linked: 8

  1. Binet A, 1984, Les idées modernes sur les enfants
  2. Cohen JE, 2007, Computer Games and Adult Learning, 205
  3. Kemp C, 2010, Cogn. Sci., 23, 1
  4. Li R, 2011, Public Libr. Sci., 9, e1001135
  5. 10.1038/nn972 · DOI · Paper page
  6. Rosen LD, 2007, Me, MySpace, and I
  7. Rumelhart DE, 1987, Parallel Distributed Processing–Vol. 1
  8. Vul E, 2010, Adv. Neural Inf. Proc. Syst., 32, 1955

Cited by

Sorted by citations

Items 401–500 of 556

Related

See all

Metadata

Authors
Bavelier, D., Green, C. S., Pouget, A., & Schrater, P.
Affiliations
  • Department of Psychology and Education Sciences, University of Geneva, 1211 Geneva 4, Switzerland
  • University of Wisconsin–Madison (US)
  • University of Geneva (CH)
  • University of Minnesota (US)
ORCID
Venue
Annual Review of Neuroscience
Publisher
Annual Reviews
Published
2012-07-21
Volume
35
Issue
1
Pages
391-416
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
DOI
10.1146/annurev-neuro-060909-152832
OpenAlex
W2120804125
Cited by
541
References
148
Citations by year
2026: 34 · 2025: 32 · 2024: 31 · 2023: 35 · 2022: 38 · 2021: 43 · 2020: 54 · 2019: 39 · 2018: 35 · 2017: 42 · 2016: 41 · 2015: 45 · 2014: 35 · 2013: 31 · 2012: 4
FWCI
2.91
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Annual Review of Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders
  • National Institute on Drug Abuse (DA-0346785)
  • National Eye Institute (EY-016880, EY-0285, R01EY016880)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience, Education and Cognitive Function
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
Keywords
neuroplasticity, meta-learning, action video games, transfer of learning, computational models of learning, neural mechanisms of learning, lifespan development, rehabilitation training, employee training
MeSH terms
Algorithms, Brain, Humans, Human Development, Learning, Neuronal Plasticity, Psychomotor Performance, Transfer, Psychology, Neural Networks, Computer, Video Games

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review