Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Learning and Motivation | 3 |
Author
Maes, J. H. R. | 1 |
Matute, Helena | 1 |
Orgaz, Cristina | 1 |
Pineno, Oskar | 1 |
Sambeth, A. | 1 |
Schachtman, Todd R. | 1 |
Vadillo, Miguel A. | 1 |
Zilski, Jessica M. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Audience
Location
New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Vadillo, Miguel A.; Orgaz, Cristina; Matute, Helena – Learning and Motivation, 2008
The present series of experiments explores the interaction between retroactive interference and cue competition in human contingency learning. The results of two experiments show that a cue that has been exposed to a cue competition treatment (overshadowing) loses part of its ability to retroactively interfere with responding to a different cue…
Descriptors: Cues, Competition, Interaction, Cognitive Development
Pineno, Oskar; Zilski, Jessica M.; Schachtman, Todd R. – Learning and Motivation, 2007
Two conditioned taste aversion experiments with rats were conducted to establish if a target taste that had received a prior pairing with illness could be subject to second-order conditioning during extinction treatment in compound with a flavor that also received prior conditioning. In these experiments, the occurrence of second-order…
Descriptors: Classical Conditioning, Associative Learning, Animals, Animal Behavior
Sambeth, A.; Maes, J. H. R. – Learning and Motivation, 2006
The purpose of this experiment was to compare components of the human and rat auditory event-related potential (ERP) in a serial feature-positive discrimination task. Subjects learned to respond to an auditory target stimulus when it followed a visual feature (X [right arrow] A+), but to not respond when it was presented alone (A-). Upon solving…
Descriptors: Animals, Auditory Discrimination, Inhibition, Associative Learning