92
Views
1
CrossRef citations to date
0
Altmetric
Regular articles

The effects of ordinal load on incidental temporal learning

, &
Pages 664-674 | Received 23 Mar 2015, Accepted 05 Jan 2016, Published online: 17 Mar 2016
 

ABSTRACT

How can we grasp the temporal structure of events? A few studies have indicated that representations of temporal structure are acquired when there is an intention to learn, but not when learning is incidental. Response-to-stimulus intervals, uncorrelated temporal structures, unpredictable ordinal information, and lack of metrical organization have been pointed out as key obstacles to incidental temporal learning, but the literature includes piecemeal demonstrations of learning under all these circumstances. We suggest that the unacknowledged effects of ordinal load may help reconcile these conflicting findings, ordinal load referring to the cost of identifying the sequence of events (e.g., tones, locations) where a temporal pattern is embedded. In a first experiment, we manipulated ordinal load into simple and complex levels. Participants learned ordinal-simple sequences, despite their uncorrelated temporal structure and lack of metrical organization. They did not learn ordinal-complex sequences, even though there were no response-to-stimulus intervals nor unpredictable ordinal information. In a second experiment, we probed learning of ordinal-complex sequences with strong metrical organization, and again there was no learning. We conclude that ordinal load is a key obstacle to incidental temporal learning. Further analyses showed that the effect of ordinal load is to mask the expression of temporal knowledge, rather than to prevent learning.

Acknowledgements

We are grateful to Fredrik Ullén for the stimulating discussion on a previous version of this manuscript.

Additional information

Funding

This work was supported by Fundação para a Ciência e a Tecnologia [grant number PTDC/PSI/66641/2006], [grant number PEst-C/PSI/IU0050/2011], [grant number PEst-OE/EQB/LA0023/2011], [grant number PEst-OE/EQB/LA0023/2013], [grant number PTDC/PSI-PCO/110734/2009], [grant number UID/BIM/04773/2013 CBMR 1334], and [grant number UID/PSI/00050/2013].

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.