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Perfetti, Charles; Helder, Anne – Discourse Processes: A Multidisciplinary Journal, 2021
The study of word-to-text integration (WTI) provides a window on incremental processes that link the meaning of a word to the preceding text. We review a research program using event-related potential indicators of WTI at sentence beginnings, thus localizing sources of integration to prior text meaning independently of the current sentence. The…
Descriptors: Reading Comprehension, Sentences, Reading Processes, Cognitive Processes
Blumenfeld, Robert S.; Parks, Colleen M.; Yonelinas, Andrew P.; Ranganath, Charan – Journal of Cognitive Neuroscience, 2011
Results from fMRI have strongly supported the idea that the ventrolateral PFC (VLPFC) contributes to successful memory formation, but the role the dorsolateral PFC (DLPFC) in memory encoding is more controversial. Some findings suggest that the DLPFC is recruited when one is processing relationships between items in working memory, and this…
Descriptors: Short Term Memory, Task Analysis, Diagnostic Tests, Brain Hemisphere Functions
Maguire, Angela M.; Humphreys, Michael S.; Dennis, Simon; Lee, Michael D. – Journal of Memory and Language, 2010
This paper addresses two Global Matching predictions in embedded-category designs: the within-category choice advantage in forced-choice recognition (superior discrimination for test choices comprising a same-category distractor); and the category length effect in forced-choice and old/new recognition (a loss in discriminability with increases in…
Descriptors: Bayesian Statistics, Models, Prediction, Classification
Cicchino, Jessica B.; Aslin, Richard N.; Rakison, David H. – Cognition, 2011
The associative learning account of how infants identify human motion rests on the assumption that this knowledge is derived from statistical regularities seen in the world. Yet, no catalog exists of what visual input infants receive of human motion, and of causal and self-propelled motion in particular. In this manuscript, we demonstrate that the…
Descriptors: Photography, Cues, Outcomes of Treatment, Infants
Greville, W. James; Buehner, Marc J. – Journal of Experimental Psychology: General, 2010
"Temporal predictability" refers to the regularity or consistency of the time interval separating events. When encountering repeated instances of causes and effects, we also experience multiple cause-effect temporal intervals. Where this interval is constant it becomes possible to predict when the effect will follow from the cause. In…
Descriptors: Time, Intervals, Learning, Prediction
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
Bott, Lewis; Hoffman, Aaron B.; Murphy, Gregory L. – Journal of Experimental Psychology: General, 2007
Many theories of category learning assume that learning is driven by a need to minimize classification error. When there is no classification error, therefore, learning of individual features should be negligible. The authors tested this hypothesis by conducting three category-learning experiments adapted from an associative learning blocking…
Descriptors: Associative Learning, Classification, Error Patterns, Hypothesis Testing
Pineno, Oskar; Matute, Helena – Psicologica: International Journal of Methodology and Experimental Psychology, 2005
Retroactive interference between cues trained apart has been regarded as an effect that occurs because the target and interfering associations share a common outcome. Although this view is consistent with evidence in the verbal learning tradition (Underwood, 1966) and, more recently, in predictive learning with humans (Pineno & Matute, 2000),…
Descriptors: Cues, Verbal Learning, Organizations (Groups), Prediction

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