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Behnam Karami; Caspar M. Schwiedrzik – npj Science of Learning, 2024
Visual objects are often defined by multiple features. Therefore, learning novel objects entails learning feature conjunctions. Visual cortex is organized into distinct anatomical compartments, each of which is devoted to processing a single feature. A prime example are neurons purely selective to color and orientation, respectively. However,…
Descriptors: Visual Perception, Visual Learning, Novelty (Stimulus Dimension), Brain Hemisphere Functions
Apfelbaum, Keith S.; McMurray, Bob – Cognitive Science, 2017
Previous research on associative learning has uncovered detailed aspects of the process, including what types of things are learned, how they are learned, and where in the brain such learning occurs. However, perceptual processes, such as stimulus recognition and identification, take time to unfold. Previous studies of learning have not addressed…
Descriptors: Word Recognition, Associative Learning, Cognitive Science, Auditory Perception
Brem, Silvia; Hunkeler, Eliane; Mächler, Markus; Kronschnabel, Jens; Karipidis, Iliana Irini; Pleisch, Georgette; Brandeis, Daniel – International Journal of Behavioral Development, 2018
Neural tuning to print develops when children learn to read and is reflected by a more pronounced left occipito-temporal negativity to orthographic stimuli as compared to non-orthographic false fonts or symbols after around 150-250 ms in their N1, a visual event-related potential (ERP). In adults, initial expertise for a novel script can emerge in…
Descriptors: Adults, Expertise, Novelty (Stimulus Dimension), Visual Perception
Griffiths, Oren; Erlinger, May; Beesley, Tom; Le Pelley, Mike E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Within the domain of associative learning, there is substantial evidence that people (and other animals) select among environmental cues on the basis of their reinforcement history. Specifically, people preferentially attend to, and learn about, cueing stimuli that have previously predicted events of consequence (a predictiveness bias). By…
Descriptors: Associative Learning, Prediction, Bias, Cues
Beesley, Tom; Hanafi, Gunadi; Vadillo, Miguel A.; Shanks, David R.; Livesey, Evan J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Two experiments examined biases in selective attention during contextual cuing of visual search. When participants were instructed to search for a target of a particular color, overt attention (as measured by the location of fixations) was biased strongly toward distractors presented in that same color. However, when participants searched for…
Descriptors: Attention, Cues, Bias, Visual Perception
Sapey-Triomphe, Laurie-Anne; Sonié, Sandrine; Hénaff, Marie-Anne; Mattout, Jérémie; Schmitz, Christina – Journal of Autism and Developmental Disorders, 2018
The learning-style theory of Autism Spectrum Disorders (ASD) (Qian, Lipkin, Frontiers in Human Neuroscience 5:77, 2011) states that ASD individuals differ from neurotypics in the way they learn and store information about the environment and its structure. ASD would rather adopt a "lookup-table" strategy (LUT: memorizing each…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Cognitive Style
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
Heusser, Andrew C.; Ezzyat, Youssef; Shiff, Ilana; Davachi, Lila – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Episodic memories are not veridical records of our lives, but rather are better described as organized summaries of experience. Theories and empirical research suggest that shifts in perceptual, temporal, and semantic information lead to a chunking of our continuous experiences into segments, or "events." However, the consequences of…
Descriptors: Mnemonics, Associative Learning, Memory, Cognitive Processes
Jessica E. Bartley; Michael C. Riedel; Taylor Salo; Emily R. Boeving; Katherine L. Bottenhorn; Elsa I. Bravo; Rosalie Odean; Alina Nazareth; Robert W. Laird; Matthew T. Sutherland; Shannon M. Pruden; Eric Brewe; Angela R. Laird – npj Science of Learning, 2019
Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students--physics problem solving--to characterize the underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module…
Descriptors: Brain, Cognitive Processes, Science Process Skills, Abstract Reasoning
Bolton, Sorcha; Robinson, Oliver J. – Learning & Memory, 2017
Anxiety disorders are the most common mental health disorders, and daily transient feelings of anxiety (or "stress") are ubiquitous. However, the precise impact of both transient and pathological anxiety on higher-order cognitive functions, including short- and long-term memory, is poorly understood. A clearer understanding of the…
Descriptors: Trauma, Memory, Recognition (Psychology), Verbal Communication