Evidence map›Paper›PMID 27504806›Full record

ArticleeLife2016

Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system.

Kiyohito Iigaya

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Article
  9. Discounting Future Reward in an Uncertain World.Decision (Washington, D.C.) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Adaptive Learning through Temporal Dynamics of State Representation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  14. Computational models of adaptive behavior and prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  15. Article
  16. Article
  17. Timescales of Cognition in the Brain.Current opinion in behavioral sciences · 2021
    Article
  18. Article
  19. Article
  20. 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

1 author at 1 institution in 2 countries.

Kiyohito IigayaGatsby Computational Neuroscience Unit, University College London, London, United Kingdom.ORCID 0000-0002-4748-8432
Oxford Centre for Computational Neuroscience · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments have shown that animals and humans have a remarkable ability to adapt their learning rate according to the volatility of the environment. Yet the neural mechanism responsible for such adaptive learning has remained unclear. To fill this gap, we investigated a biophysically inspired, metaplastic synaptic model within the context of a well-studied decision-making network, in which synapses can change their rate of plasticity in addition to their efficacy according to a reward-based learning rule. We found that our model, which assumes that synaptic plasticity is guided by a novel surprise detection system, captures a wide range of key experimental findings and performs as well as a Bayes optimal model, with remarkably little parameter tuning. Our results further demonstrate the computational power of synaptic plasticity, and provide insights into the circuit-level computation which underlies adaptive decision-making.

Indexed as

Adaptation, PhysiologicalDecision MakingLearningUncertaintyAnimalsBiophysical PhenomenaHumansNeural Networks, ComputerNeuronal Plasticitydecision-makinghumanlearningmemory consolidationmouseneuroscienceplasticityratrhesus macaquesurprisesynapse

Identifiers

PMID27504806
PMCPMC5008908
OpenAlexW2514548734

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.