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Derouet, Joffrey; Droit-Volet, Sylvie; Doyère, Valérie – Learning & Memory, 2021
The present study evaluates the updating of long-term memory for duration. After learning a temporal discrimination associating one lever with a standard duration (4 sec) and another lever with both a shorter (1-sec) and a longer (16-sec) duration, rats underwent a single session for learning a new standard duration. The temporal generalization…
Descriptors: Memory, Cognitive Processes, Time Factors (Learning), Task Analysis
Sekeres, Melanie J.; Moscovitch, Morris; Grady, Cheryl L.; Sullens, D. Gregory; Winocur, Gordon – Learning & Memory, 2020
Conditioned fear memories that are context-specific shortly after conditioning generalize over time. We exposed rats to a context reminder 30 d after conditioning, which served to reinstate context-specificity, and investigated how this reminder alters retrieval-induced activity in the hippocampus and anterior cingulate cortex (aCC) relative to a…
Descriptors: Memory, Animals, Brain Hemisphere Functions, Conditioning
Fischer, Jean-Paul; Luxembourger, Christophe – Education Sciences, 2018
Reversing characters (digits and letters) when writing, and complete mirror writing, raise one of the oldest and most mysterious questions in developmental and educational psychology: Why do five-year-old children write symbols (e.g., [reversed E] for E) they have neither learnt nor seen? Attempts to draw up a complete explanatory theory of…
Descriptors: Writing Processes, Handwriting, Young Children, Memory
Kumaran, Dharshan; McClelland, James L. – Psychological Review, 2012
In this article, we present a perspective on the role of the hippocampal system in generalization, instantiated in a computational model called REMERGE (recurrency and episodic memory results in generalization). We expose a fundamental, but neglected, tension between prevailing computational theories that emphasize the function of the hippocampus…
Descriptors: Generalization, Brain Hemisphere Functions, Role, Memory
Plag, Ingo; Baayen, Harald – Language, 2009
There is a long-standing debate about the principles constraining the combinatorial properties of suffixes. Hay 2002 and Hay & Plag 2004 proposed a model in which suffixes can be ordered along a hierarchy of processing complexity. We show that this model generalizes to a larger set of suffixes, and we provide independent evidence supporting the…
Descriptors: Suffixes, Language Processing, Morphology (Languages), Generalization
Chater, Nick; Brown, Gordon D. A. – Cognitive Science, 2008
The remarkable successes of the physical sciences have been built on highly general quantitative laws, which serve as the basis for understanding an enormous variety of specific physical systems. How far is it possible to construct universal principles in the cognitive sciences, in terms of which specific aspects of perception, memory, or decision…
Descriptors: Sciences, Scientific Principles, Models, Memory
Kinshuk, Taiyu Lin; McNab, Paul – Innovations in Education and Teaching International, 2006
Researchers have regarded inductive reasoning as one of the seven primary mental abilities that account for human intelligent behaviours. Researchers have also shown that inductive reasoning ability is one of the best predictors for academic performance. Modelling of inductive reasoning is therefore an important issue for providing adaptivity in…
Descriptors: Memory, Logical Thinking, Thinking Skills, Virtual Classrooms

Byrne, John H. – News in Physiological Sciences, 1986
Projects that soon a complete mechanistic understanding of simple forms of learning will be available. Describes some of the recent advances in neuroscience and psychology in understanding the changes in neural circuits that occur during certain behavioral situations. Suggests that learning involves the activation of second messenger systems. (TW)
Descriptors: Cognitive Processes, Conditioning, Encoding (Psychology), Learning Theories

Thompson, Rihard F. – Science, 1986
Describes recent research findings in the area of neurobiology and its relationship to learning and memory. The article provides definitions of associative and nonassociative learning, identifies essential memory trace circuits of the mammalian brain, and discusses some neural mechanisms of learning. (TW)
Descriptors: Animal Behavior, Artificial Intelligence, Behavior, Cardiovascular System