Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/17222
Title: | The ability of two internal clock models to predict performance on a temporal bisection task | Contributor(s): | Wiles, Lisa (author); Bizo, Lewis (author); McEwan, James S (author) | Publication Date: | 2014 | Handle Link: | https://hdl.handle.net/1959.11/17222 | Abstract: | This research tested the ability of two competing models of animal timing, Learning to Time (LET) and Scalar Expectancy Theory (SET), to predict hens' performance on a temporal bisection task, in a replication of an experiment by Machado and Keen (1999). Hens were trained in two temporal discriminations; in Type 1 trials they learned to choose a red key after a 1-s signal and a green key after a 4-s signal and in Type 2 trials they learned to choose a green key after a 4-s signal, and a yellow key after a 16-s signal. After they learnt these discriminations, intermediate durations were presented. The resulting psychometric function did not superpose, violating the scalar property of timing. When novel key and duration combinations were presented and performance on subsequent generalisation tests closely matched LETS predictions. Overall, the results support the findings of Machado and Keen (1999) and supported LET's rather than SET's predictions. | Publication Type: | Conference Publication | Conference Details: | NZABA 2014 Conference: 11th Annual Conference of the New Zealand Association for Behaviour Analysis (NZABA), Dunedin, New Zealand, 29th - 31st August, 2014 | Source of Publication: | New Zealand Association for Behaviour Analysis 11th Annual Conference Programme, p. 22-22 | Publisher: | New Zealand Association for Behaviour Analysis (NZABA) | Place of Publication: | online | Fields of Research (FoR) 2008: | 170110 Psychological Methodology, Design and Analysis 170101 Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology) |
Fields of Research (FoR) 2020: | 520105 Psychological methodology, design and analysis 520202 Behavioural neuroscience |
Socio-Economic Objective (SEO) 2008: | 920410 Mental Health | Socio-Economic Objective (SEO) 2020: | 200409 Mental health | HERDC Category Description: | E3 Extract of Scholarly Conference Publication | Publisher/associated links: | https://nzaba.files.wordpress.com/2013/07/nzaba-2014-programme-complete.pdf |
---|---|
Appears in Collections: | Conference Publication |
Files in This Item:
File | Description | Size | Format |
---|
Page view(s)
990
checked on Mar 8, 2023
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.