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Ansgar D. Endress – Developmental Science, 2024
In many domains, learners extract recurring units from continuous sequences. For example, in unknown languages, fluent speech is perceived as a continuous signal. Learners need to extract the underlying words from this continuous signal and then memorize them. One prominent candidate mechanism is statistical learning, whereby learners track how…
Descriptors: Syllables, Brain Hemisphere Functions, Diagnostic Tests, Memory
Zerbes, Gundula; Schwabe, Lars – Learning & Memory, 2019
Successful episodic memory requires binding of event details across spatial and temporal gaps. The neural processes underlying mnemonic binding, however, are not fully understood. Moreover, although acute stress is known to modulate memory, if and how stress changes mnemonic integration across time and space is unknown. To elucidate these issues,…
Descriptors: Spatial Ability, Stress Variables, Cognitive Processes, Memory
Hashimoto, Teruo; Yokota, Susumu; Matsuzaki, Yutaka; Kawashima, Ryuta – Autism: The International Journal of Research and Practice, 2021
Atypical learning and memory in early life can promote atypical behaviors in later life. Less relational learning and inflexible retrieval in childhood may enhance restricted and repeated behaviors in patients with autism spectrum disorder. The purpose of this study was to elucidate the mechanisms of atypical memory in children with autism…
Descriptors: Autism, Pervasive Developmental Disorders, Learning Processes, Memory
Lohnas, Lynn J.; Kahana, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
According to the retrieved context theory of episodic memory, the cue for recall of an item is a weighted sum of recently activated cognitive states, including previously recalled and studied items as well as their associations. We show that this theory predicts there should be compound cuing in free recall. Specifically, the temporal contiguity…
Descriptors: Cues, Recall (Psychology), Meta Analysis, Correlation
Chen, Janice; Olsen, Rosanna K.; Preston, Alison R.; Glover, Gary H.; Wagner, Anthony D. – Learning & Memory, 2011
Hippocampal subfields CA3 and CA1 are hypothesized to differentially support the generation of associative predictions and the detection of associative mismatches, respectively. Using high-resolution functional MRI, we examined hippocampal subfield activation during associative retrieval and during subsequent comparisons of memory to matching or…
Descriptors: Prediction, Memory, Associative Learning, Brain Hemisphere Functions
Friedrich, Manuela; Friederici, Angela D. – Journal of Cognitive Neuroscience, 2011
There has been general consensus that initial word learning during early infancy is a slow and time-consuming process that requires very frequent exposure, whereas later in development, infants are able to quickly learn a novel word for a novel meaning. From the perspective of memory maturation, this shift in behavioral development might represent…
Descriptors: Semantics, Infants, Neurology, Memory
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
Sekiguchi, Tatsuhiko; Furudate, Hiroyuki; Kimura, Tetsuya – Learning & Memory, 2010
The terrestrial slug "Limax" exhibits a highly developed ability to learn odors with a small nervous system. When a fluorescent dye, Lucifer Yellow (LY), is injected into the slug's body cavity after odor-taste associative conditioning, a group of neurons in the procerebral (PC) lobe, an olfactory center of the slug, is labeled by LY. We examined…
Descriptors: Conditioning, Olfactory Perception, Physiology, Brain Hemisphere Functions
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
Butler, Andrew J.; James, Thomas W.; James, Karin Harman – Journal of Cognitive Neuroscience, 2011
Everyday experience affords us many opportunities to learn about objects through multiple senses using physical interaction. Previous work has shown that active motor learning of unisensory items enhances memory and leads to the involvement of motor systems during subsequent perception. However, the impact of active motor learning on subsequent…
Descriptors: Visual Stimuli, Auditory Stimuli, Active Learning, Visual Perception
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
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
Malmberg, Kenneth J. – Cognitive Psychology, 2008
The development of formal models has aided theoretical progress in recognition memory research. Here, I review the findings that are critical for testing them, including behavioral and brain imaging results of single-item recognition, plurality discrimination, and associative recognition experiments under a variety of testing conditions. I also…
Descriptors: Testing, Neurology, Recognition (Psychology), Models
Kerfoot, Erin C.; Agarwal, Isha; Lee, Hongjoo J.; Holland, Peter C. – Learning & Memory, 2007
Through associative learning, cues for biologically significant reinforcers such as food may gain access to mental representations of those reinforcers. Here, we used devaluation procedures, behavioral assessment of hedonic taste-reactivity responses, and measurement of immediate-early gene (IEG) expression to show that a cue for food engages…
Descriptors: Cues, Behavioral Science Research, Memory, Brain
Villarreal, Ronald P.; Steinmetz, Joseph E. – Journal of the Experimental Analysis of Behavior, 2005
How the nervous system encodes learning and memory processes has interested researchers for 100 years. Over this span of time, a number of basic neuroscience methods has been developed to explore the relationship between learning and the brain, including brain lesion, stimulation, pharmacology, anatomy, imaging, and recording techniques. In this…
Descriptors: Brain Hemisphere Functions, Anatomy, Brain, Associative Learning