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Direct linkRey, 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
Lindsey, Dakota R. B.; Logan, Gordon D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Associations are formed among the items in a sequence over the course of learning, but these item-to-item associations are not sufficient to reproduce the order of the sequence (Lashley, 1951). Contemporary theories of serial order tend to omit these associations entirely. The current paper investigates whether item-to-item associations play a…
Descriptors: Sequential Learning, Serial Ordering, Office Occupations, Cues
Georgiou, George K.; Parrila, Rauno; Cui, Ying; Papadopoulos, Timothy C. – Journal of Experimental Child Psychology, 2013
The objective of this study was to examine why rapid automatized naming (RAN) is related to reading by manipulating processes involved at the input, processing, and output stages of its production. In total, 65 children in Grade 2 and 65 in Grade 6 were assessed on serial and discrete RAN (Digits and Objects), Cancellation, RAN Yes/No, and oral…
Descriptors: Reading Fluency, Grade 2, Grade 6, Naming
Hilkenmeier, Frederic; Olivers, Christian N. L.; Scharlau, Ingrid – Journal of Experimental Psychology: Human Perception and Performance, 2012
The law of prior entry states that attended objects come to consciousness more quickly than unattended ones. This has been well established in spatial cueing paradigms, where two task-relevant stimuli are presented near-simultaneously at two different locations. Here, we suggest that prior entry also plays a pivotal role in temporal attention…
Descriptors: Stimuli, Resource Allocation, Cues, Experiments
Shin, Yun Kyoung; Proctor, Robert W.; Capaldi, E. J. – Psychological Bulletin, 2010
A framework for action planning, called "ideomotor theory," suggests that actions are represented by their perceivable effects. Thus, any activation of the effect image, either endogenously or exogenously, will trigger the corresponding action. We review contemporary studies relating to ideomotor theory in which researchers have investigated…
Descriptors: Psychophysiology, Evidence, Stimuli, Sensory Experience
Breckenridge, Robert L.; Dixon, Theodore R. – J Exp Psychol, 1970
Descriptors: Serial Learning, Stimuli, Transfer of Training
Grossman, Leonard; Eagle, Morris – J Exp Psychol, 1970
Descriptors: Associative Learning, Serial Learning, Stimuli, Word Lists
Restle, Frank; Brown, Eric R. – J Exp Psychol, 1970
Descriptors: Associative Learning, College Students, Serial Learning, Stimuli
Young, Robert K.; Parker, George V. C. – J Exp Psychol, 1970
Descriptors: Learning Motivation, Learning Theories, Paired Associate Learning, Serial Learning
Goggin, Judith; Martin, Edwin – J Exp Psychol, 1970
Descriptors: Concept Formation, Learning Theories, Paired Associate Learning, Serial Learning
Dickins, David W. – Journal of the Experimental Analysis of Behavior, 2005
Ingenious and seemingly powerful technologies have been developed recently that enable the visualization in some detail of events in the brain concomitant upon the ongoing behavioral performance of a human participant. Measurement of such brain events offers at the very least a new set of dependent variables in relation to which the independent…
Descriptors: Brain Hemisphere Functions, Serial Learning, Research Methodology, Behavioral Sciences
Peer reviewedJohnson, 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
