Evidence map›Paper›PMID 34050339›Full record

ReviewNature reviews. Neuroscience2021

Spine dynamics in the brain, mental disorders and artificial neural networks.

Haruo Kasai, Noam E Ziv, Hitoshi Okazaki, Sho Yagishita, Taro Toyoizumi

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–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

89 citing papers in PubMed.

  1. Article
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  4. Dissociating the Hallucinogenic and Neuroplastic Effects of Psilocybin.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
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  9. Review
  10. Article
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  13. Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

29 more citing papers are in PubMed but not listed here.

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

5 authors.

Haruo KasaiLaboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan. hkasai@m.u-tokyo.ac.jp.ORCID 0000-0003-2327-9027
Noam E ZivTechnion Faculty of Medicine and Network Biology Research Labs, Technion City, Haifa, Israel.ORCID 0000-0001-9197-326X
Hitoshi OkazakiLaboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Sho YagishitaLaboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Taro ToyoizumiLaboratory for Neural Computation and Adaptation, RIKEN Center for Brain Science, Saitama, Japan.ORCID 0000-0001-5444-8829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their artificial intelligence counterparts, spines are not merely tuneable memory elements: they also embody algorithms that implement the brain's ability to learn from experience and cope with new challenges. Importantly, they exhibit structural dynamics that depend on activity, excitatory input and inhibitory input (synaptic plasticity or 'extrinsic' dynamics) and dynamics independent of activity ('intrinsic' dynamics), both of which are subject to neuromodulatory influences and reinforcers such as dopamine. Here we succinctly review extrinsic and intrinsic dynamics, compare these with parallels in machine learning where they exist, describe the importance of intrinsic dynamics for memory management and adaptation, and speculate on how disruption of extrinsic and intrinsic dynamics may give rise to mental disorders. Throughout, we also highlight algorithmic features of spine dynamics that may be relevant to future artificial intelligence developments.

Indexed as

Models, NeurologicalNeural Networks, ComputerAlgorithmsAnimalsArtificial IntelligenceBrainDendritic SpinesDopamineHumansMachine LearningMemory, Short-TermMental DisordersMental ProcessesNeuronal PlasticityNeurotransmitter AgentsOptogeneticsDopamineNeurotransmitter AgentsReceptors, Dopamine

Identifiers

What OpenQuestion holds

Textmetadata
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.