Evidence map›Paper›PMID 25054799›Full record

ArticlePloS one2014

SSCC TD: a serial and simultaneous configural-cue compound stimuli representation for temporal difference learning.

Esther Mondragón, Jonathan Gray, Eduardo Alonso, Charlotte Bonardi, Dómhnall J Jennings

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Esther MondragónCentre for Computational and Animal Learning Research, St Albans, United Kingdom.
Jonathan GrayCentre for Computational and Animal Learning Research, St Albans, United Kingdom; Institute for Complex Systems Simulations, University of Southampton, Southampton, United Kingdom.
Eduardo AlonsoCentre for Computational and Animal Learning Research, St Albans, United Kingdom; Department of Computer Science, City University London, London, United Kingdom.
Charlotte BonardiCentre for Computational and Animal Learning Research, St Albans, United Kingdom; School of Psychology, University of Nottingham, Nottingham, United Kingdom.
Dómhnall J JenningsCentre for Computational and Animal Learning Research, St Albans, United Kingdom; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/F013191/1
6 · The paper itself

Abstract

This paper presents a novel representational framework for the Temporal Difference (TD) model of learning, which allows the computation of configural stimuli--cumulative compounds of stimuli that generate perceptual emergents known as configural cues. This Simultaneous and Serial Configural-cue Compound Stimuli Temporal Difference model (SSCC TD) can model both simultaneous and serial stimulus compounds, as well as compounds including the experimental context. This modification significantly broadens the range of phenomena which the TD paradigm can explain, and allows it to predict phenomena which traditional TD solutions cannot, particularly effects that depend on compound stimuli functioning as a whole, such as pattern learning and serial structural discriminations, and context-related effects.

Indexed as

AlgorithmsCuesModels, PsychologicalConditioning, ClassicalDiscrimination LearningDiscrimination, PsychologicalGeneralization, StimulusHumansPsychological TheoryTime Factors

Identifiers

PMID25054799
PMCPMC4108321

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.