Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition.

Johnson, A., Miles, C. and Dygacz, A., 2017. Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition. Memory, 25 (9), pp. 1279-1293.

Full text available as:

[img] PDF
Johnson, Dygacz, and Miles - Hebb repetition effects for non-verbal visual sequences .pdf - Accepted Version
Restricted to Repository staff only until 28 February 2018.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

584kB

DOI: 10.1080/09658211.2017.1293692

Abstract

We report four experiments premised upon the work of Horton et al. (2008) and Page et al. (2013), and explore conditions under which the visual Hebb repetition effect is observed. Experiment 1 showed that repetition learning is evident when the items comprising the non- repeated (filler) sequences and the repeated (Hebb) sequences are different (no-overlap). However, learning is abolished when the filler and Hebb sequences comprise the same items (full-overlap). Learning of the repeated sequence persisted when repetition spacing was increased to 6 trials (Experiment 2), consistent with that shown for verbal stimuli (Page et al., 2013). In Experiment 3 it was shown that learning for the repeated sequence is accentuated when the output motor response at test is also repeated for the Hebb sequence, but only under conditions of no-overlap. In Experiment 4, repetition spacing was re-examined with a repeated motor output response (a closer methodological analogue to Page et al., 2013). Under these conditions, the gradient of Hebb repetition learning for 6 trial repetition intervals was markedly similar to that for 3 trial intervals. These findings further support the universality of the Hebb repetition effect across memory and are discussed in terms of evidence for amodality within sequence memory.

Item Type:Article
ISSN:0965-8211
Uncontrolled Keywords:Hebb repetition effects; visual memory; short-term memory; serial order reconstruction
Group:Faculty of Science & Technology
ID Code:27179
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:14 Feb 2017 13:44
Last Modified:10 Oct 2017 15:23

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -