Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 7 |
Descriptor
Associative Learning | 7 |
Probability | 7 |
Stimuli | 7 |
Feedback (Response) | 4 |
Models | 4 |
Prediction | 4 |
Experiments | 3 |
Learning Processes | 3 |
Statistical Analysis | 3 |
Animals | 2 |
Bayesian Statistics | 2 |
More ▼ |
Source
Journal of Experimental… | 2 |
Learning & Memory | 2 |
Cognitive Science | 1 |
Journal of Experimental… | 1 |
Journal of Experimental… | 1 |
Author
Ashby, F. Gregory | 1 |
Bonafos, Guillem | 1 |
Bugg, Julie M. | 1 |
Chanani, Swati | 1 |
Craig, Stewart | 1 |
Fagot, Joël | 1 |
Faraut, Mailys C. M. | 1 |
Freyermuth, Jean-Marc | 1 |
Jacoby, Larry L. | 1 |
Lavigne, Frédéric | 1 |
Lazartigues, Laura | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Australia | 1 |
California (Santa Barbara) | 1 |
Missouri | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rey, Arnaud; Fagot, Joël; Mathy, Fabien; Lazartigues, Laura; Tosatto, Laure; Bonafos, Guillem; Freyermuth, Jean-Marc; Lavigne, Frédéric – Cognitive Science, 2022
The extraction of cooccurrences between two events, A and B, is a central learning mechanism shared by all species capable of associative learning. Formally, the cooccurrence of events A and B appearing in a sequence is measured by the transitional probability (TP) between these events, and it corresponds to the probability of the second stimulus…
Descriptors: Animals, Learning Processes, Associative Learning, Serial Learning
Faraut, Mailys C. M.; Procyk, Emmanuel; Wilson, Charles R. E. – Learning & Memory, 2016
Unexpected outcomes can reflect noise in the environment or a change in the current rules. We should ignore noise but shift strategy after rule changes. How we learn to do this is unclear, but one possibility is that it relies on learning to learn in uncertain environments. We propose that acquisition of latent task structure during learning to…
Descriptors: Learning, Cognitive Processes, Animals, Error Patterns
Ashby, F. Gregory; Vucovich, Lauren E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Feedback is highly contingent on behavior if it eventually becomes easy to predict, and weakly contingent on behavior if it remains difficult or impossible to predict even after learning is complete. Many studies have demonstrated that humans and nonhuman animals are highly sensitive to feedback contingency, but no known studies have examined how…
Descriptors: Feedback (Response), Classification, Learning Processes, Associative Learning
Craig, Stewart; Lewandowsky, Stephan; Little, Daniel R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The assumption in some current theories of probabilistic categorization is that people gradually attenuate their learning in response to unavoidable error. However, existing evidence for this error discounting is sparse and open to alternative interpretations. We report 2 probabilistic-categorization experiments in which we investigated error…
Descriptors: Evidence, Feedback (Response), Associative Learning, Classification
Bugg, Julie M.; Jacoby, Larry L.; Chanani, Swati – Journal of Experimental Psychology: Human Perception and Performance, 2011
The item-specific proportion congruency (ISPC) effect is the finding of attenuated interference for mostly incongruent as compared to mostly congruent items. A debate in the Stroop literature concerns the mechanisms underlying this effect. Noting a confound between proportion congruency and contingency, Schmidt and Besner (2008) suggested that…
Descriptors: Evidence, Experiments, Stimuli, Associative Learning
Speekenbrink, Maarten; Shanks, David R. – Journal of Experimental Psychology: General, 2010
Multiple cue probability learning studies have typically focused on stationary environments. We present 3 experiments investigating learning in changing environments. A fine-grained analysis of the learning dynamics shows that participants were responsive to both abrupt and gradual changes in cue-outcome relations. We found no evidence that…
Descriptors: Prediction, Stimuli, Rewards, Associative Learning
Rodriguez, Paul F. – Learning & Memory, 2009
Memory systems are known to be influenced by feedback and error processing, but it is not well known what aspects of outcome contingencies are related to different memory systems. Here we use the Rescorla-Wagner model to estimate prediction errors in an fMRI study of stimulus-outcome association learning. The conditional probabilities of outcomes…
Descriptors: Feedback (Response), Prediction, Memory, Probability