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) | 13 |
Descriptor
Associative Learning | 14 |
Prediction | 14 |
Stimuli | 14 |
Cues | 7 |
Experiments | 4 |
Memory | 4 |
Models | 4 |
Probability | 4 |
Animals | 3 |
Cognitive Processes | 3 |
Association (Psychology) | 2 |
More ▼ |
Source
Learning & Memory | 4 |
Journal of Experimental… | 3 |
Journal of Experimental… | 2 |
Journal of Experimental… | 2 |
Psicologica: International… | 1 |
Psychological Record | 1 |
Psychological Review | 1 |
Author
Vogel, Edgar H. | 2 |
Beesley, Tom | 1 |
Beran, Michael J. | 1 |
Braem, Senne | 1 |
Buckemüller, Christina | 1 |
Bugg, Julie M. | 1 |
Castillo, Ramon D. | 1 |
Chan, Betty | 1 |
Chanani, Swati | 1 |
Cornejo, Felipe A. | 1 |
Craig, Stewart | 1 |
More ▼ |
Publication Type
Journal Articles | 14 |
Reports - Research | 12 |
Reports - Evaluative | 2 |
Education Level
Higher Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Perez, Omar D.; Vogel, Edgar H.; Naraslwodeyar, Sanjay; Soto, Fabian A. – Learning & Memory, 2022
Theories of learning distinguish between elemental and configural stimulus processing depending on whether stimuli are processed independently or as whole configurations. Evidence for elemental processing comes from findings of summation in animals where a compound of two dissimilar stimuli is deemed to be more predictive than each stimulus alone,…
Descriptors: Cues, Associative Learning, Stimuli, Prediction
Tallot, Lucille; Diaz-Mataix, Lorenzo; Perry, Rosemarie E.; Wood, Kira; LeDoux, Joseph E.; Mouly, Anne-Marie; Sullivan, Regina M.; Doyère, Valérie – Learning & Memory, 2017
The updating of a memory is triggered whenever it is reactivated and a mismatch from what is expected (i.e., prediction error) is detected, a process that can be unraveled through the memory's sensitivity to protein synthesis inhibitors (i.e., reconsolidation). As noted in previous studies, in Pavlovian threat/aversive conditioning in adult rats,…
Descriptors: Long Term Memory, Error Patterns, Cognitive Processes, Brain
Griffiths, Oren; Erlinger, May; Beesley, Tom; Le Pelley, Mike E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Within the domain of associative learning, there is substantial evidence that people (and other animals) select among environmental cues on the basis of their reinforcement history. Specifically, people preferentially attend to, and learn about, cueing stimuli that have previously predicted events of consequence (a predictiveness bias). By…
Descriptors: Associative Learning, Prediction, Bias, Cues
Marter, Kathrin; Grauel, M. Katharina; Lewa, Carmen; Morgenstern, Laura; Buckemüller, Christina; Heufelder, Karin; Ganz, Marion; Eisenhardt, Dorothea – Learning & Memory, 2014
This study examines the role of stimulus duration in learning and memory formation of honeybees ("Apis mellifera"). In classical appetitive conditioning honeybees learn the association between an initially neutral, conditioned stimulus (CS) and the occurrence of a meaningful stimulus, the unconditioned stimulus (US). Thereby the CS…
Descriptors: Learning Processes, Memory, Classical Conditioning, Associative Learning
Braem, Senne; Verguts, Tom; Notebaert, Wim – Journal of Experimental Psychology: Human Perception and Performance, 2011
Cognitive control is responsible for adapting information processing in order to carry out tasks more efficiently. Contrasting global versus local control accounts, it has recently been proposed that control operates in an associative fashion, that is, by binding stimulus-response associations after detection of conflict (Verguts & Notebaert,…
Descriptors: Conflict, Associative Learning, Cognitive Processes, Prediction
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
Cornejo, Felipe A.; Castillo, Ramon D.; Saavedra, Maria A.; Vogel, Edgar H. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
Considerable research has examined the contrasting predictions of configural and elemental associative accounts of learning. One of the simplest methods to distinguish between these approaches is the summation test, in which the associative strength of a novel compound (AB) made of two separately-trained cues (A+ and B+) is examined. The…
Descriptors: Animals, Cues, Classical Conditioning, Prediction
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
Loft, Shayne; Neal, Andrew; Humphreys, Michael S. – Journal of Experimental Psychology: Human Perception and Performance, 2007
Current theory assumes that individuals only use information from the immediate environment to perform relative arrival-time judgment tasks. This article presents a theoretical analysis of the memory requirements of this task. The authors present an analysis of the inputs to the memory system and the processes that map those inputs onto outputs.…
Descriptors: Memory, Associative Learning, Prediction, Experiments
Beran, Michael J.; Klein, Emily D.; Evans, Theodore A.; Chan, Betty; Flemming, Timothy M.; Harris, Emily H.; Washburn, David A.; Rumbaugh, Duane M. – Psychological Record, 2008
Learning styles in capuchin monkeys were assessed with a computerized reversal-learning task called the mediational paradigm. First, monkeys were trained to respond with 90% accuracy on a two-choice discrimination (A+B-). Then the authors examined differences in performance on three different types of reversal trials (A-B+, A-C+, B+C-), each of…
Descriptors: Cues, Teaching Methods, Prediction, Animals
Huber, David E. – Journal of Experimental Psychology: General, 2008
Three forced-choice perceptual word identification experiments tested the claim that transitions from positive to negative priming as a function of increasing prime duration are due to cognitive aftereffects. These aftereffects are similar in nature to perceptual aftereffects that produce a negative image due to overexposure and habituation to a…
Descriptors: Semantics, Habituation, Cognitive Processes, Cues

Johnson, G. J. – Psychological Review, 1991
An associative model of serial learning is described based on the assumption that the effective stimulus for a serial-list item is generated by adaptation-level coding of the item's ordinal position. How the model can generate predictions of aspects of serial-learning data is illustrated. (SLD)
Descriptors: Association (Psychology), Associative Learning, Coding, Difficulty Level