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

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Article numbere102469
JournalPLoS ONE
Volume9
Issue number7
DOIs
Publication statusPublished - 23 Jul 2014
Externally publishedYes

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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