Evidence map›Paper›PMID 25071629›Full record

ArticleFrontiers in psychology2014

A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing.

Vivian V Valentin, W Todd Maddox, F Gregory Ashby

Abstract read
In one paragraph

Article in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Is there a criterion in criterial learning? Insights from studying feedback delays.Journal of experimental psychology. Learning, memory, and cognition · 2026
    Article
  3. Article
  4. Review
  5. Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.Neural networks : the official journal of the International Neural Network Society · 2017
    Article
  6. Review
  7. Is the auditory system cognitively penetrable?Frontiers in psychology · 2015
    Article
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

3 authors.

Vivian V ValentinDepartment of Psychological and Brain Sciences, University of California Santa Barbara Santa Barbara, CA, USA.
W Todd MaddoxDepartment of Psychology, University of Texas Austin Austin, TX, USA.
F Gregory AshbyDepartment of Psychological and Brain Sciences, University of California Santa Barbara Santa Barbara, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence is now good that different memory systems mediate the learning of different types of category structures. In particular, declarative memory dominates rule-based (RB) category learning and procedural memory dominates information-integration (II) category learning. For example, several studies have reported that feedback timing is critical for II category learning, but not for RB category learning-results that have broad support within the memory systems literature. Specifically, II category learning has been shown to be best with feedback delays of 500 ms compared to delays of 0 and 1000 ms, and highly impaired with delays of 2.5 s or longer. In contrast, RB learning is unaffected by any feedback delay up to 10 s. We propose a neurobiologically detailed theory of procedural learning that is sensitive to different feedback delays. The theory assumes that procedural learning is mediated by plasticity at cortical-striatal synapses that are modified by dopamine-mediated reinforcement learning. The model captures the time-course of the biochemical events in the striatum that cause synaptic plasticity, and thereby accounts for the empirical effects of various feedback delays on II category learning.

Indexed as

category learningcomputational modelingdopaminefeedback timingprocedural learningstriatumsynaptic plasticity

Identifiers

PMID25071629
PMCPMC4079082

What OpenQuestion holds

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Registered trials

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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.