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Kersey, Alyssa J.; Emberson, Lauren L. – Developmental Science, 2017
Although infants begin learning about their environment before they are born, little is known about how the infant brain changes during learning. Here, we take the initial steps in documenting how the neural responses in the brain change as infants learn to associate audio and visual stimuli. Using functional near-infrared spectroscopy (fNRIS) to…
Descriptors: Infants, Child Development, Spectroscopy, Brain Hemisphere Functions
Le Pelley, M. E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Monkeys will selectively and adaptively learn to avoid the most difficult trials of a perceptual discrimination learning task. Couchman, Coutinho, Beran, and Smith (2010) have recently demonstrated that this pattern of responding does not depend on animals receiving trial-by-trial feedback for their responses; it also obtains if experience of the…
Descriptors: Animals, Associative Learning, Feedback (Response), Discrimination Learning
Diviney, Mairead; Fey, Dirk; Commins, Sean – Learning & Memory, 2013
Learning to navigate toward a goal is an essential skill. Place learning is thought to rely on the ability of animals to associate the location of a goal with surrounding environmental cues. Using the Morris water maze, a task popularly used to examine place learning, we demonstrate that distal cues provide animals with distance and directional…
Descriptors: Cues, Learning Processes, Task Analysis, Animals
Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio – Cognitive Psychology, 2009
How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified…
Descriptors: Reaction Time, Eye Movements, Earth Science, Associative Learning
Jordan, Kerry E.; Suanda, Sumarga H.; Brannon, Elizabeth M. – Cognition, 2008
Intersensory redundancy can facilitate animal and human behavior in areas as diverse as rhythm discrimination, signal detection, orienting responses, maternal call learning, and associative learning. In the realm of numerical development, infants show similar sensitivity to numerical differences in both the visual and auditory modalities. Using a…
Descriptors: Infants, Associative Learning, Redundancy, Cognitive Ability
Giurfa, Martin; Malun, Dagmar – Learning & Memory, 2004
The present work introduces a form of associative mechanosensory conditioning of the proboscis extension reflex (PER) in honeybees. In our paradigm, harnessed honeybees learn the elemental association between mechanosensory, antennal stimulation and a reward of sucrose solution delivered to the proboscis. Thereafter, bees extend their proboscis to…
Descriptors: Models, Cues, Stimulation, Classical Conditioning
Kleiman, Glenn M. – 1979
Two experiments explored whether the facilitatory effect of context on lexical decisions is limited to words subjects generated when given the context as a prompt in a production task, or if the effect is wider in scope. The first experiment provided evidence of a wide scope of facilitation from single word contexts. In the second experiment, the…
Descriptors: Associative Learning, Concept Formation, Context Clues, Language Processing
Peer reviewedMason, Mildred – Journal of Experimental Psychology: Human Perception and Performance, 1982
Three experiments report additional evidence that it is a mistake to account for all interletter effects solely in terms of sensory variables. These experiments attest to the importance of structural variables such as retina location, array size, and ordinal position. (Author/PN)
Descriptors: Associative Learning, Cognitive Processes, Eye Fixations, Higher Education
ROSENTHAL-HILL, IRENE; SUPPES, PATRICK – 1967
CONCEPT FORMATION IN 50 KINDERGARTENERS WAS STUDIED BY REQUIRING THE CHILDREN TO SORT CARDS ACCORDING TO ONE OF FOUR ATTRIBUTES OF THREE DIFFERENT DIMENSIONS. THE OBJECTIVE WAS TO EXPLORE THE VALIDITY AND LIMITATIONS OF AN ALL-OR-NONE LEARNING MODEL FOR COMPLEX CLASSIFYING RESPONSES. INFORMATION WAS PRESENTED TO THE SUBJECT BY TWO POSITIVE…
Descriptors: Abstract Reasoning, Associative Learning, Cognitive Processes, Concept Formation

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