SSCC TD: A Serial and Simultaneous Configural-cue compound stimuli representation for Temporal Difference learning
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 744
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0102469
- Title of journal
- PLoS ONE
- Article number
- e102469
- First page
- 1
- Volume
- 9
- Issue
- 7
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output presents novel SSCC Temporal Difference (TF) model that extends traditional TD methods' predictive capabilities. The work is relevant for computational cognitive neuroscience subfields: classical conditioning at both behavioural and conceptual levels, analysis of neural data –especially to the dopaminergic function, decision making, goal-directed behaviour and timing. It has generated new empirical research (Jennings & Bonardi 2017; Murphy & Honey 2016; Bonardi et al 2015; etc), and has been presented in several conferences (Mondragón ICCM 2015; Mondragón et al 2014). Its free software is available for download for teaching and research (downloaded 25 times since Jan 2021).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
