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Kinnunen, Kirsi Maria; Greenwood, Richard; Powell, Jane Hilary; Leech, Robert; Hawkins, Peter Charlie; Bonnelle, Valerie; Patel, Maneesh Chandrakant; Counsell, Serena Jane; Sharp, David James – Brain, 2011
White matter disruption is an important determinant of cognitive impairment after brain injury, but conventional neuroimaging underestimates its extent. In contrast, diffusion tensor imaging provides a validated and sensitive way of identifying the impact of axonal injury. The relationship between cognitive impairment after traumatic brain injury…
Descriptors: Control Groups, Neurological Impairments, Injuries, Associative Learning
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Eidels, Ami; Townsend, James T.; Algom, Daniel – Cognition, 2010
A huge set of focused attention experiments show that when presented with color words printed in color, observers report the ink color faster if the carrier word is the name of the color rather than the name of an alternative color, the Stroop effect. There is also a large number (although not so numerous as the Stroop task) of so-called…
Descriptors: Visual Stimuli, Cognitive Processes, Color, Associative Learning
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Jones, Manon W.; Branigan, Holly P.; Parra, Mario A.; Logie, Robert H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The ability to learn visual-phonological associations is a unique predictor of word reading, and individuals with developmental dyslexia show impaired ability in learning these associations. In this study, we compared developmentally dyslexic and nondyslexic adults on their ability to form cross-modal associations (or "bindings") based…
Descriptors: Experimental Psychology, Dyslexia, Predictor Variables, Associative Learning
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Ford, Jaclyn Hennessey; Verfaellie, Mieke; Giovanello, Kelly S. – Neuropsychologia, 2010
The current study compared the neural correlates of associative retrieval of compound (unitized) stimuli and unrelated (non-unitized) stimuli. Although associative recognition was nearly identical for compounds and unrelated pairs, accurate recognition of these different pair types was associated with activation in distinct regions within the…
Descriptors: Correlation, Familiarity, Recognition (Psychology), Comparative Analysis
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Baumgartner, Heidi A.; Oakes, Lisa M. – Journal of Cognition and Development, 2011
When learning object function, infants must detect relations among features--for example, that squeezing is associated with squeaking or that objects with wheels roll. Previously, Perone and Oakes (2006) found 10-month-old infants were sensitive to relations between object appearances and actions, but not to relations between appearances and…
Descriptors: Infants, Manipulative Materials, Visual Stimuli, Auditory Perception
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Maguire, Mandy J.; Brier, Matthew R.; Ferree, Thomas C. – Brain and Language, 2010
Despite the importance of semantic relationships to our understanding of semantic knowledge, the nature of the neural processes underlying these abilities are not well understood. In order to investigate these processes, 20 healthy adults listened to thematically related (e.g., leash-dog), taxonomically related (e.g., horse-dog), or unrelated…
Descriptors: Semantics, Memory, Cognitive Processes, Classification
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Rakison, David H.; Yermolayeva, Yevdokiya – Journal of Cognition and Development, 2011
A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of…
Descriptors: Research Design, Cognitive Processes, Infants, Brain
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Kim, Alice S. N.; Vallesi, Antonino; Picton, Terence W.; Tulving, Endel – Neuropsychologia, 2009
The present study focused on the processes underlying cognitive association formation by investigating subsequent memory effects. Event-related potentials were recorded as participants studied pairs of words, presented one word at a time, for later recall. The findings showed that a frontal-positive late wave (LW), which occurred 1-1.6 s after the…
Descriptors: Semantics, Memory, Cognitive Processes, Associative Learning
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Moses, Sandra N.; Villate, Christina; Binns, Malcolm A.; Davidson, Patrick S. R.; Ryan, Jennifer D. – Neuropsychologia, 2008
Transitive inference has traditionally been regarded as a relational proposition-based reasoning task, however, recent investigations question the validity of this assumption. Although some results support the use of a relational proposition-based approach, other studies find evidence for the use of associative learning. We examined whether…
Descriptors: Inferences, Relationship, Memory, Associative Learning
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Wang, Zhipeng; Pan, Yufeng; Li, Weizhe; Jiang, Huoqing; Chatzimanolis, Lazaros; Chang, Jianhong; Gong, Zhefeng; Liu, Li – Learning & Memory, 2008
The role of the "foraging" ("for)" gene, which encodes a cyclic guanosine-3',5'-monophosphate (cGMP)-dependent protein kinase (PKG), in food-search behavior in "Drosophila" has been intensively studied. However, its functions in other complex behaviors have not been well-characterized. Here, we show experimentally in "Drosophila" that the "for"…
Descriptors: Visual Learning, Associative Learning, Memory, Brain
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Bonnel, Anna; McAdams, Stephen; Smith, Bennett; Berthiaume, Claude; Bertone, Armando; Ciocca, Valter; Burack, Jacob A.; Mottron, Laurent – Neuropsychologia, 2010
Persons with Autism spectrum disorders (ASD) display atypical perceptual processing in visual and auditory tasks. In vision, Bertone, Mottron, Jelenic, and Faubert (2005) found that enhanced and diminished visual processing is linked to the level of neural complexity required to process stimuli, as proposed in the neural complexity hypothesis.…
Descriptors: Visual Stimuli, Autism, Asperger Syndrome, Young Adults
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Turk-Browne, Nicholas B.; Scholl, Brian J.; Chun, Marvin M.; Johnson, Marcia K. – Journal of Cognitive Neuroscience, 2009
Our environment contains regularities distributed in space and time that can be detected by way of statistical learning. This unsupervised learning occurs without intent or awareness, but little is known about how it relates to other types of learning, how it affects perceptual processing, and how quickly it can occur. Here we use fMRI during…
Descriptors: Familiarity, Associative Learning, Statistics, Responses
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Kaufman, Scott Barry; DeYoung, Colin G; Gray, Jeremy R.; Brown, Jamie; Mackintosh, Nicholas – Intelligence, 2009
Recent evidence suggests the existence of multiple cognitive mechanisms that support the general cognitive ability factor (g). Working memory and processing speed are the two best established candidate mechanisms. Relatively little attention has been given to the possibility that associative learning is an additional mechanism contributing to g.…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Short Term Memory
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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
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Tsui, David; van der Kooy, Derek – Learning & Memory, 2008
We utilized olfactory-mediated chemotaxis in "Caenorhabditis elegans" to examine the effect of aging on information processing and animal behavior. Wild-type (N2) young adults (day 4) initially approach and eventually avoid a point source of benzaldehyde. Aged adult animals (day 7) showed a stronger initial approach and a delayed avoidance to…
Descriptors: Animals, Associative Learning, Animal Behavior, Age Differences
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