Evidence map›Paper›PMID 26593091›Full record

ArticleNeuron2015

Distinct Eligibility Traces for LTP and LTD in Cortical Synapses.

Kaiwen He, Marco Huertas, Su Z Hong, XiaoXiu Tie, Johannes W Hell, Harel Shouval, Alfredo Kirkwood

Abstract read
In one paragraph

Article in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing 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

133 citing papers in PubMed.

  1. Trial
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  5. Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Serotonin-endocannabinoid crosstalk selectively regulates inhibitory GABAergic inputs in the medial prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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  16. Review
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73 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

7 authors.

Kaiwen HeMind/Brain Institute, Johns Hopkins University, 3400 North Charles Street, 350 Dunning Hall, Baltimore, MD 21218, USA.
Marco HuertasDepartment of Neurobiology and Anatomy, University of Texas at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX 77030, USA.
Su Z HongMind/Brain Institute, Johns Hopkins University, 3400 North Charles Street, 350 Dunning Hall, Baltimore, MD 21218, USA.
XiaoXiu TieMind/Brain Institute, Johns Hopkins University, 3400 North Charles Street, 350 Dunning Hall, Baltimore, MD 21218, USA.
Johannes W HellDepartment of Pharmacology, University of California, Davis, 1544 Newton Court, Davis, CA 95618, USA.
Harel ShouvalDepartment of Neurobiology and Anatomy, University of Texas at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX 77030, USA.
Alfredo KirkwoodMind/Brain Institute, Johns Hopkins University, 3400 North Charles Street, 350 Dunning Hall, Baltimore, MD 21218, USA. Electronic address: kirkwood@jhu.edu.

Funding

Regulation of Synaptic Plastiticy in Visual CortexR01EY012124 · NEI · JOHNS HOPKINS UNIVERSITY · PI KIRKWOOD, ALFREDO · 1998 to 2021
$7.6M
Learning temporal representations in cortex; mechanism and behavioral correlateR01MH093665 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SHULER, MARSHALL GILMER · 2012 to 2014
$1.2M
NEI NIH HHS R01 EY012124NEI NIH HHS R01EY012124NIMH NIH HHS R01 MH093665NIMH NIH HHS R01MH093665
6 · The paper itself

Abstract

In reward-based learning, synaptic modifications depend on a brief stimulus and a temporally delayed reward, which poses the question of how synaptic activity patterns associate with a delayed reward. A theoretical solution to this so-called distal reward problem has been the notion of activity-generated "synaptic eligibility traces," silent and transient synaptic tags that can be converted into long-term changes in synaptic strength by reward-linked neuromodulators. Here we report the first experimental demonstration of eligibility traces in cortical synapses. We demonstrate the Hebbian induction of distinct traces for LTP and LTD and their subsequent timing-dependent transformation into lasting changes by specific monoaminergic receptors anchored to postsynaptic proteins. Notably, the temporal properties of these transient traces allow stable learning in a recurrent neural network that accurately predicts the timing of the reward, further validating the induction and transformation of eligibility traces for LTP and LTD as a plausible synaptic substrate for reward-based learning.

Indexed as

AnimalsCerebral CortexLong-Term PotentiationLong-Term Synaptic DepressionMiceMice, Inbred C57BLMice, TransgenicNeuronal PlasticityOptogeneticsOrgan Culture TechniquesSynapses

Identifiers

PMID26593091
PMCPMC4660261

What OpenQuestion holds

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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.